id	sid	tid	token	lemma	pos
cana-673	1	1	communications	communication	NOUN
cana-673	1	2	on	on	ADP
cana-673	1	3	applied	apply	VERB
cana-673	1	4	nonlinear	nonlinear	ADJ
cana-673	1	5	analysis	analysis	NOUN
cana-673	1	6	issn	issn	NOUN
cana-673	1	7	:	:	PUNCT
cana-673	1	8	1074	1074	NUM
cana-673	1	9	-	-	PUNCT
cana-673	1	10	133x	133x	NUM
cana-673	1	11	vol	vol	NOUN
cana-673	1	12	31	31	NUM
cana-673	1	13	no	no	NOUN
cana-673	1	14	.	.	PUNCT
cana-673	2	1	2s	2s	NUM
cana-673	2	2	(	(	PUNCT
cana-673	2	3	2024	2024	NUM
cana-673	2	4	)	)	PUNCT
cana-673	2	5	593	593	NUM
cana-673	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-673	2	7	an	an	DET
cana-673	2	8	improved	improve	VERB
cana-673	2	9	deep	deep	ADJ
cana-673	2	10	network	network	NOUN
cana-673	2	11	and	and	CCONJ
cana-673	2	12	handcrafted	handcraft	VERB
cana-673	2	13	feature	feature	NOUN
cana-673	2	14	-	-	PUNCT
cana-673	2	15	based	base	VERB
cana-673	2	16	scene	scene	NOUN
cana-673	2	17	classification	classification	NOUN
cana-673	2	18	convolutional	convolutional	ADJ
cana-673	2	19	model	model	NOUN
cana-673	2	20	for	for	ADP
cana-673	2	21	self	self	NOUN
cana-673	2	22	-	-	PUNCT
cana-673	2	23	driving	drive	VERB
cana-673	2	24	cars	car	NOUN
cana-673	2	25	sanjay	sanjay	PROPN
cana-673	2	26	p.	p.	PROPN
cana-673	2	27	pande1	pande1	PROPN
cana-673	2	28	,	,	PUNCT
cana-673	2	29	sarika	sarika	PROPN
cana-673	2	30	khandelwal2	khandelwal2	PROPN
cana-673	2	31	1department	1department	NUM
cana-673	2	32	of	of	ADP
cana-673	2	33	computer	computer	NOUN
cana-673	2	34	science	science	PROPN
cana-673	2	35	&	&	CCONJ
cana-673	2	36	engineering	engineering	PROPN
cana-673	2	37	,	,	PUNCT
cana-673	2	38	g.h	g.h	PROPN
cana-673	2	39	.	.	PROPN
cana-673	2	40	raisoni	raisoni	PROPN
cana-673	2	41	university	university	PROPN
cana-673	2	42	,	,	PUNCT
cana-673	2	43	amravati	amravati	PROPN
cana-673	2	44	,	,	PUNCT
cana-673	2	45	maharashtra	maharashtra	PROPN
cana-673	2	46	,	,	PUNCT
cana-673	2	47	india	india	PROPN
cana-673	2	48	2department	2department	PROPN
cana-673	2	49	of	of	ADP
cana-673	2	50	computer	computer	NOUN
cana-673	2	51	science	science	PROPN
cana-673	2	52	&	&	CCONJ
cana-673	2	53	engineering	engineering	PROPN
cana-673	2	54	,	,	PUNCT
cana-673	2	55	g.h	g.h	PROPN
cana-673	2	56	.	.	PROPN
cana-673	2	57	raisoni	raisoni	PROPN
cana-673	2	58	college	college	PROPN
cana-673	2	59	of	of	ADP
cana-673	2	60	engineering	engineering	PROPN
cana-673	2	61	,	,	PUNCT
cana-673	2	62	nagpur	nagpur	PROPN
cana-673	2	63	,	,	PUNCT
cana-673	2	64	maharashtra	maharashtra	PROPN
cana-673	2	65	,	,	PUNCT
cana-673	2	66	india	india	PROPN
cana-673	2	67	1sanjaypande2001@gmail.com	1sanjaypande2001@gmail.com	NUM
cana-673	2	68	,	,	PUNCT
cana-673	2	69	2sarikakhandelwal@gmail.com	2sarikakhandelwal@gmail.com	NUM
cana-673	2	70	article	article	NOUN
cana-673	2	71	history	history	NOUN
cana-673	2	72	:	:	PUNCT
cana-673	2	73	received	receive	VERB
cana-673	2	74	:	:	PUNCT
cana-673	2	75	28	28	NUM
cana-673	2	76	-	-	SYM
cana-673	2	77	03	03	NUM
cana-673	2	78	-	-	PUNCT
cana-673	2	79	2024	2024	NUM
cana-673	2	80	revised	revise	VERB
cana-673	2	81	:	:	PUNCT
cana-673	2	82	14	14	NUM
cana-673	2	83	-	-	SYM
cana-673	2	84	05	05	NUM
cana-673	2	85	-	-	PUNCT
cana-673	2	86	2024	2024	NUM
cana-673	2	87	accepted	accept	VERB
cana-673	2	88	:	:	PUNCT
cana-673	2	89	29	29	NUM
cana-673	2	90	-	-	SYM
cana-673	2	91	05	05	NUM
cana-673	2	92	-	-	PUNCT
cana-673	2	93	2024	2024	NUM
cana-673	2	94	abstract	abstract	NOUN
cana-673	2	95	:	:	PUNCT
cana-673	2	96	with	with	ADP
cana-673	2	97	growing	grow	VERB
cana-673	2	98	urbanization	urbanization	NOUN
cana-673	2	99	,	,	PUNCT
cana-673	2	100	cars	car	NOUN
cana-673	2	101	have	have	AUX
cana-673	2	102	populated	populate	VERB
cana-673	2	103	the	the	DET
cana-673	2	104	roads	road	NOUN
cana-673	2	105	to	to	ADP
cana-673	2	106	great	great	ADJ
cana-673	2	107	extent	extent	NOUN
cana-673	2	108	.	.	PUNCT
cana-673	3	1	intelligent	intelligent	ADJ
cana-673	3	2	cars	car	NOUN
cana-673	3	3	are	be	AUX
cana-673	3	4	the	the	DET
cana-673	3	5	need	need	NOUN
cana-673	3	6	to	to	PART
cana-673	3	7	mitigate	mitigate	VERB
cana-673	3	8	the	the	DET
cana-673	3	9	traffic	traffic	NOUN
cana-673	3	10	and	and	CCONJ
cana-673	3	11	improve	improve	VERB
cana-673	3	12	the	the	DET
cana-673	3	13	traffic	traffic	NOUN
cana-673	3	14	efficiency	efficiency	NOUN
cana-673	3	15	.	.	PUNCT
cana-673	4	1	scene	scene	NOUN
cana-673	4	2	classification	classification	NOUN
cana-673	4	3	in	in	ADP
cana-673	4	4	one	one	NUM
cana-673	4	5	of	of	ADP
cana-673	4	6	the	the	DET
cana-673	4	7	important	important	ADJ
cana-673	4	8	ingredient	ingredient	NOUN
cana-673	4	9	of	of	ADP
cana-673	4	10	self	self	NOUN
cana-673	4	11	-	-	PUNCT
cana-673	4	12	driven	drive	VERB
cana-673	4	13	cars	car	NOUN
cana-673	4	14	,	,	PUNCT
cana-673	4	15	which	which	PRON
cana-673	4	16	acts	act	VERB
cana-673	4	17	as	as	ADP
cana-673	4	18	a	a	DET
cana-673	4	19	key	key	ADJ
cana-673	4	20	source	source	NOUN
cana-673	4	21	for	for	ADP
cana-673	4	22	good	good	ADJ
cana-673	4	23	decision	decision	NOUN
cana-673	4	24	making	make	VERB
cana-673	4	25	tasks	task	NOUN
cana-673	4	26	.	.	PUNCT
cana-673	5	1	scene	scene	NOUN
cana-673	5	2	complexities	complexity	NOUN
cana-673	5	3	and	and	CCONJ
cana-673	5	4	diversities	diversity	NOUN
cana-673	5	5	have	have	AUX
cana-673	5	6	made	make	VERB
cana-673	5	7	the	the	DET
cana-673	5	8	problem	problem	NOUN
cana-673	5	9	more	more	ADV
cana-673	5	10	complex	complex	ADJ
cana-673	5	11	resulting	result	VERB
cana-673	5	12	in	in	ADP
cana-673	5	13	similarities	similarity	NOUN
cana-673	5	14	in	in	ADP
cana-673	5	15	different	different	ADJ
cana-673	5	16	classes	class	NOUN
cana-673	5	17	and	and	CCONJ
cana-673	5	18	differences	difference	NOUN
cana-673	5	19	in	in	ADP
cana-673	5	20	same	same	ADJ
cana-673	5	21	categories	category	NOUN
cana-673	5	22	.	.	PUNCT
cana-673	6	1	to	to	PART
cana-673	6	2	deal	deal	VERB
cana-673	6	3	with	with	ADP
cana-673	6	4	such	such	ADJ
cana-673	6	5	scenarios	scenario	NOUN
cana-673	6	6	,	,	PUNCT
cana-673	6	7	the	the	DET
cana-673	6	8	proposed	propose	VERB
cana-673	6	9	work	work	NOUN
cana-673	6	10	present	present	VERB
cana-673	6	11	a	a	DET
cana-673	6	12	fusion	fusion	NOUN
cana-673	6	13	of	of	ADP
cana-673	6	14	various	various	ADJ
cana-673	6	15	effective	effective	ADJ
cana-673	6	16	features	feature	NOUN
cana-673	6	17	obtained	obtain	VERB
cana-673	6	18	from	from	ADP
cana-673	6	19	deep	deep	ADJ
cana-673	6	20	networks	network	NOUN
cana-673	6	21	and	and	CCONJ
cana-673	6	22	descriptors	descriptor	NOUN
cana-673	6	23	to	to	PART
cana-673	6	24	classify	classify	VERB
cana-673	6	25	scenes	scene	NOUN
cana-673	6	26	in	in	ADP
cana-673	6	27	four	four	NUM
cana-673	6	28	different	different	ADJ
cana-673	6	29	categories	category	NOUN
cana-673	6	30	.	.	PUNCT
cana-673	7	1	local	local	ADJ
cana-673	7	2	features	feature	NOUN
cana-673	7	3	are	be	AUX
cana-673	7	4	obtained	obtain	VERB
cana-673	7	5	using	use	VERB
cana-673	7	6	the	the	DET
cana-673	7	7	yolov5	yolov5	NOUN
cana-673	7	8	m	m	PROPN
cana-673	7	9	and	and	CCONJ
cana-673	7	10	the	the	DET
cana-673	7	11	vgg19	vgg19	PROPN
cana-673	7	12	networks	network	NOUN
cana-673	7	13	.	.	PUNCT
cana-673	8	1	the	the	DET
cana-673	8	2	yolov5	yolov5	NOUN
cana-673	8	3	m	m	VERB
cana-673	8	4	is	be	AUX
cana-673	8	5	used	use	VERB
cana-673	8	6	to	to	PART
cana-673	8	7	detect	detect	VERB
cana-673	8	8	the	the	DET
cana-673	8	9	relevant	relevant	ADJ
cana-673	8	10	objects	object	NOUN
cana-673	8	11	in	in	ADP
cana-673	8	12	the	the	DET
cana-673	8	13	scene	scene	NOUN
cana-673	8	14	and	and	CCONJ
cana-673	8	15	the	the	DET
cana-673	8	16	vgg19	vgg19	PROPN
cana-673	8	17	is	be	AUX
cana-673	8	18	used	use	VERB
cana-673	8	19	to	to	PART
cana-673	8	20	lift	lift	VERB
cana-673	8	21	the	the	DET
cana-673	8	22	blind	blind	ADJ
cana-673	8	23	features	feature	NOUN
cana-673	8	24	of	of	ADP
cana-673	8	25	the	the	DET
cana-673	8	26	objects	object	NOUN
cana-673	8	27	detected	detect	VERB
cana-673	8	28	.	.	PUNCT
cana-673	9	1	the	the	DET
cana-673	9	2	global	global	ADJ
cana-673	9	3	feature	feature	NOUN
cana-673	9	4	extraction	extraction	NOUN
cana-673	9	5	module	module	NOUN
cana-673	9	6	is	be	AUX
cana-673	9	7	used	use	VERB
cana-673	9	8	to	to	PART
cana-673	9	9	extract	extract	VERB
cana-673	9	10	the	the	DET
cana-673	9	11	blind	blind	ADJ
cana-673	9	12	features	feature	NOUN
cana-673	9	13	using	use	VERB
cana-673	9	14	vgg19	vgg19	PROPN
cana-673	9	15	network	network	NOUN
cana-673	9	16	.	.	PUNCT
cana-673	10	1	for	for	ADP
cana-673	10	2	improving	improve	VERB
cana-673	10	3	the	the	DET
cana-673	10	4	classification	classification	NOUN
cana-673	10	5	accuracy	accuracy	NOUN
cana-673	10	6	,	,	PUNCT
cana-673	10	7	eight	eight	NUM
cana-673	10	8	handcrafted	handcrafted	ADJ
cana-673	10	9	features	feature	NOUN
cana-673	10	10	adding	add	VERB
cana-673	10	11	fine	fine	ADJ
cana-673	10	12	and	and	CCONJ
cana-673	10	13	coarse	coarse	ADJ
cana-673	10	14	details	detail	NOUN
cana-673	10	15	of	of	ADP
cana-673	10	16	the	the	DET
cana-673	10	17	image	image	NOUN
cana-673	10	18	are	be	AUX
cana-673	10	19	fused	fuse	VERB
cana-673	10	20	with	with	ADP
cana-673	10	21	local	local	ADJ
cana-673	10	22	and	and	CCONJ
cana-673	10	23	global	global	ADJ
cana-673	10	24	features	feature	NOUN
cana-673	10	25	.	.	PUNCT
cana-673	11	1	a	a	DET
cana-673	11	2	fully	fully	ADV
cana-673	11	3	connected	connected	ADJ
cana-673	11	4	network	network	NOUN
cana-673	11	5	comprising	comprising	NOUN
cana-673	11	6	of	of	ADP
cana-673	11	7	five	five	NUM
cana-673	11	8	layers	layer	NOUN
cana-673	11	9	is	be	AUX
cana-673	11	10	finally	finally	ADV
cana-673	11	11	used	use	VERB
cana-673	11	12	to	to	PART
cana-673	11	13	differentiate	differentiate	VERB
cana-673	11	14	the	the	DET
cana-673	11	15	scenes	scene	NOUN
cana-673	11	16	in	in	ADP
cana-673	11	17	four	four	NUM
cana-673	11	18	categories	category	NOUN
cana-673	11	19	viz	viz	NUM
cana-673	11	20	crosswalk	crosswalk	NOUN
cana-673	11	21	,	,	PUNCT
cana-673	11	22	highway	highway	NOUN
cana-673	11	23	,	,	PUNCT
cana-673	11	24	over	over	ADP
cana-673	11	25	pass	pass	NOUN
cana-673	11	26	/	/	SYM
cana-673	11	27	tunnel	tunnel	NOUN
cana-673	11	28	and	and	CCONJ
cana-673	11	29	parking	parking	NOUN
cana-673	11	30	.	.	PUNCT
cana-673	12	1	a	a	DET
cana-673	12	2	self	self	NOUN
cana-673	12	3	-	-	PUNCT
cana-673	12	4	generated	generate	VERB
cana-673	12	5	dataset	dataset	NOUN
cana-673	12	6	is	be	AUX
cana-673	12	7	constructed	construct	VERB
cana-673	12	8	from	from	ADP
cana-673	12	9	four	four	NUM
cana-673	12	10	different	different	ADJ
cana-673	12	11	publicly	publicly	ADV
cana-673	12	12	available	available	ADJ
cana-673	12	13	datasets	dataset	NOUN
cana-673	12	14	to	to	PART
cana-673	12	15	evaluate	evaluate	VERB
cana-673	12	16	the	the	DET
cana-673	12	17	performance	performance	NOUN
cana-673	12	18	of	of	ADP
cana-673	12	19	the	the	DET
cana-673	12	20	proposed	propose	VERB
cana-673	12	21	scene	scene	NOUN
cana-673	12	22	classification	classification	NOUN
cana-673	12	23	model	model	NOUN
cana-673	12	24	.	.	PUNCT
cana-673	13	1	the	the	DET
cana-673	13	2	experimental	experimental	ADJ
cana-673	13	3	results	result	NOUN
cana-673	13	4	show	show	VERB
cana-673	13	5	that	that	SCONJ
cana-673	13	6	even	even	ADV
cana-673	13	7	under	under	ADP
cana-673	13	8	high	high	ADJ
cana-673	13	9	correlation	correlation	NOUN
cana-673	13	10	between	between	ADP
cana-673	13	11	classes	class	NOUN
cana-673	13	12	,	,	PUNCT
cana-673	13	13	the	the	DET
cana-673	13	14	system	system	NOUN
cana-673	13	15	was	be	AUX
cana-673	13	16	able	able	ADJ
cana-673	13	17	to	to	PART
cana-673	13	18	classify	classify	VERB
cana-673	13	19	the	the	DET
cana-673	13	20	test	test	NOUN
cana-673	13	21	samples	sample	NOUN
cana-673	13	22	with	with	ADP
cana-673	13	23	86.79	86.79	NUM
cana-673	13	24	%	%	NOUN
cana-673	13	25	accuracy	accuracy	NOUN
cana-673	13	26	which	which	PRON
cana-673	13	27	is	be	AUX
cana-673	13	28	higher	high	ADJ
cana-673	13	29	than	than	ADP
cana-673	13	30	the	the	DET
cana-673	13	31	state	state	NOUN
cana-673	13	32	-	-	PUNCT
cana-673	13	33	of	of	ADP
cana-673	13	34	-	-	PUNCT
cana-673	13	35	the	the	DET
cana-673	13	36	-	-	PUNCT
cana-673	13	37	art	art	NOUN
cana-673	13	38	models	model	NOUN
cana-673	13	39	.	.	PUNCT
cana-673	14	1	keywords	keyword	NOUN
cana-673	14	2	:	:	PUNCT
cana-673	14	3	intelligent	intelligent	ADJ
cana-673	14	4	cars	car	NOUN
cana-673	14	5	,	,	PUNCT
cana-673	14	6	scene	scene	NOUN
cana-673	14	7	classification	classification	NOUN
cana-673	14	8	,	,	PUNCT
cana-673	14	9	deep	deep	ADJ
cana-673	14	10	networks	network	NOUN
cana-673	14	11	,	,	PUNCT
cana-673	14	12	local	local	ADJ
cana-673	14	13	features	feature	NOUN
cana-673	14	14	,	,	PUNCT
cana-673	14	15	yolov5	yolov5	PROPN
cana-673	14	16	m	m	PROPN
cana-673	14	17	,	,	PUNCT
cana-673	14	18	vgg19	vgg19	PROPN
cana-673	14	19	,	,	PUNCT
cana-673	14	20	global	global	ADJ
cana-673	14	21	features	feature	NOUN
cana-673	14	22	and	and	CCONJ
cana-673	14	23	handcrafted	handcrafted	ADJ
cana-673	14	24	features	feature	NOUN
cana-673	14	25	.	.	PUNCT
cana-673	15	1	1	1	X
cana-673	15	2	.	.	X
cana-673	15	3	introduction	introduction	NOUN
cana-673	15	4	intelligent	intelligent	ADJ
cana-673	15	5	transportation	transportation	NOUN
cana-673	15	6	is	be	AUX
cana-673	15	7	todays	todays	ADV
cana-673	15	8	need	need	VERB
cana-673	15	9	with	with	ADP
cana-673	15	10	growing	grow	VERB
cana-673	15	11	traffic	traffic	NOUN
cana-673	15	12	especially	especially	ADV
cana-673	15	13	in	in	ADP
cana-673	15	14	the	the	DET
cana-673	15	15	urban	urban	ADJ
cana-673	15	16	and	and	CCONJ
cana-673	15	17	populated	populated	ADJ
cana-673	15	18	cities	city	NOUN
cana-673	15	19	.	.	PUNCT
cana-673	16	1	many	many	ADJ
cana-673	16	2	countries	country	NOUN
cana-673	16	3	flying	fly	VERB
cana-673	16	4	from	from	ADP
cana-673	16	5	developing	develop	VERB
cana-673	16	6	stage	stage	NOUN
cana-673	16	7	to	to	ADP
cana-673	16	8	developed	develop	VERB
cana-673	16	9	stage	stage	NOUN
cana-673	16	10	are	be	AUX
cana-673	16	11	undergoing	undergo	VERB
cana-673	16	12	rapid	rapid	ADJ
cana-673	16	13	development	development	NOUN
cana-673	16	14	concerning	concern	VERB
cana-673	16	15	social	social	ADJ
cana-673	16	16	economy	economy	NOUN
cana-673	16	17	.	.	PUNCT
cana-673	17	1	the	the	DET
cana-673	17	2	means	mean	NOUN
cana-673	17	3	of	of	ADP
cana-673	17	4	transportation	transportation	NOUN
cana-673	17	5	had	have	AUX
cana-673	17	6	grown	grow	VERB
cana-673	17	7	to	to	ADP
cana-673	17	8	extreme	extreme	ADJ
cana-673	17	9	extent	extent	NOUN
cana-673	17	10	which	which	PRON
cana-673	17	11	includes	include	VERB
cana-673	17	12	cars	car	NOUN
cana-673	17	13	and	and	CCONJ
cana-673	17	14	other	other	ADJ
cana-673	17	15	vehicles	vehicle	NOUN
cana-673	17	16	and	and	CCONJ
cana-673	17	17	had	have	AUX
cana-673	17	18	greatly	greatly	ADV
cana-673	17	19	affected	affect	VERB
cana-673	17	20	the	the	DET
cana-673	17	21	traffic	traffic	NOUN
cana-673	17	22	situations	situation	NOUN
cana-673	17	23	.	.	PUNCT
cana-673	18	1	the	the	DET
cana-673	18	2	traffic	traffic	NOUN
cana-673	18	3	scenario	scenario	NOUN
cana-673	18	4	had	have	AUX
cana-673	18	5	become	become	VERB
cana-673	18	6	more	more	ADV
cana-673	18	7	severe	severe	ADJ
cana-673	18	8	and	and	CCONJ
cana-673	18	9	complex	complex	ADJ
cana-673	18	10	.	.	PUNCT
cana-673	19	1	automated	automate	VERB
cana-673	19	2	vehicles	vehicle	NOUN
cana-673	19	3	combines	combine	VERB
cana-673	19	4	various	various	ADJ
cana-673	19	5	neighbouring	neighbouring	ADJ
cana-673	19	6	information	information	NOUN
cana-673	19	7	from	from	ADP
cana-673	19	8	the	the	DET
cana-673	19	9	vicinity	vicinity	NOUN
cana-673	19	10	and	and	CCONJ
cana-673	19	11	ground	ground	NOUN
cana-673	19	12	traffic	traffic	NOUN
cana-673	19	13	to	to	PART
cana-673	19	14	be	be	AUX
cana-673	19	15	efficient	efficient	ADJ
cana-673	19	16	part	part	NOUN
cana-673	19	17	of	of	ADP
cana-673	19	18	the	the	DET
cana-673	19	19	worsened	worsen	VERB
cana-673	19	20	traffic	traffic	NOUN
cana-673	19	21	involving	involve	VERB
cana-673	19	22	congestions	congestion	NOUN
cana-673	19	23	,	,	PUNCT
cana-673	19	24	accidents	accident	NOUN
cana-673	19	25	and	and	CCONJ
cana-673	19	26	other	other	ADJ
cana-673	19	27	sorts	sort	NOUN
cana-673	19	28	of	of	ADP
cana-673	19	29	problems	problem	NOUN
cana-673	19	30	[	[	X
cana-673	19	31	1	1	NUM
cana-673	19	32	-	-	SYM
cana-673	19	33	3	3	NUM
cana-673	19	34	]	]	PUNCT
cana-673	19	35	affecting	affect	VERB
cana-673	19	36	a	a	DET
cana-673	19	37	convenient	convenient	ADJ
cana-673	19	38	and	and	CCONJ
cana-673	19	39	safe	safe	ADJ
cana-673	19	40	ride	ride	NOUN
cana-673	20	1	[	[	X
cana-673	20	2	4	4	NUM
cana-673	20	3	-	-	SYM
cana-673	20	4	5	5	NUM
cana-673	20	5	]	]	PUNCT
cana-673	20	6	.	.	PUNCT
cana-673	21	1	an	an	DET
cana-673	21	2	automated	automated	ADJ
cana-673	21	3	or	or	CCONJ
cana-673	21	4	self	self	NOUN
cana-673	21	5	-	-	PUNCT
cana-673	21	6	driven	drive	VERB
cana-673	21	7	vehicle	vehicle	NOUN
cana-673	21	8	rely	rely	VERB
cana-673	21	9	on	on	ADP
cana-673	21	10	the	the	DET
cana-673	21	11	surrounding	surround	VERB
cana-673	21	12	environment	environment	NOUN
cana-673	21	13	and	and	CCONJ
cana-673	21	14	runs	run	VERB
cana-673	21	15	with	with	ADP
cana-673	21	16	no	no	PRON
cana-673	21	17	or	or	CCONJ
cana-673	21	18	some	some	DET
cana-673	21	19	manual	manual	ADJ
cana-673	21	20	support	support	NOUN
cana-673	21	21	.	.	PUNCT
cana-673	22	1	the	the	DET
cana-673	22	2	decision	decision	NOUN
cana-673	22	3	by	by	ADP
cana-673	22	4	such	such	ADJ
cana-673	22	5	indispensable	indispensable	ADJ
cana-673	22	6	part	part	NOUN
cana-673	22	7	is	be	AUX
cana-673	22	8	a	a	DET
cana-673	22	9	function	function	NOUN
cana-673	22	10	of	of	ADP
cana-673	22	11	evaluation	evaluation	NOUN
cana-673	22	12	of	of	ADP
cana-673	22	13	environment	environment	NOUN
cana-673	22	14	perception	perception	NOUN
cana-673	22	15	which	which	PRON
cana-673	22	16	basically	basically	ADV
cana-673	22	17	includes	include	VERB
cana-673	22	18	scene	scene	NOUN
cana-673	22	19	classification	classification	NOUN
cana-673	22	20	,	,	PUNCT
cana-673	22	21	lane	lane	NOUN
cana-673	22	22	identification	identification	NOUN
cana-673	22	23	,	,	PUNCT
cana-673	22	24	or	or	CCONJ
cana-673	22	25	-	-	PUNCT
cana-673	22	26	road	road	NOUN
cana-673	22	27	object	object	NOUN
cana-673	22	28	detection	detection	NOUN
cana-673	22	29	and	and	CCONJ
cana-673	22	30	others	other	NOUN
cana-673	23	1	[	[	PUNCT
cana-673	23	2	6	6	NUM
cana-673	23	3	-	-	SYM
cana-673	23	4	7	7	NUM
cana-673	23	5	]	]	PUNCT
cana-673	23	6	.	.	PUNCT
cana-673	24	1	today	today	NOUN
cana-673	24	2	’s	’s	PART
cana-673	24	3	research	research	NOUN
cana-673	24	4	focusses	focusse	NOUN
cana-673	24	5	on	on	ADP
cana-673	24	6	scene	scene	NOUN
cana-673	24	7	classification	classification	NOUN
cana-673	24	8	which	which	PRON
cana-673	24	9	is	be	AUX
cana-673	24	10	challenging	challenge	VERB
cana-673	24	11	and	and	CCONJ
cana-673	24	12	prominent	prominent	ADJ
cana-673	24	13	in	in	ADP
cana-673	24	14	selfdriving	selfdrive	VERB
cana-673	24	15	car	car	NOUN
cana-673	24	16	systems	system	NOUN
cana-673	24	17	due	due	ADJ
cana-673	24	18	the	the	DET
cana-673	24	19	complexity	complexity	NOUN
cana-673	24	20	of	of	ADP
cana-673	24	21	traffic	traffic	NOUN
cana-673	24	22	and	and	CCONJ
cana-673	24	23	numerous	numerous	ADJ
cana-673	24	24	scene	scene	NOUN
cana-673	24	25	categories	category	NOUN
cana-673	24	26	[	[	X
cana-673	24	27	8	8	NUM
cana-673	24	28	]	]	PUNCT
cana-673	24	29	.	.	PUNCT
cana-673	25	1	communications	communication	NOUN
cana-673	25	2	on	on	ADP
cana-673	25	3	applied	apply	VERB
cana-673	25	4	nonlinear	nonlinear	ADJ
cana-673	25	5	analysis	analysis	NOUN
cana-673	25	6	issn	issn	NOUN
cana-673	25	7	:	:	PUNCT
cana-673	25	8	1074	1074	NUM
cana-673	25	9	-	-	PUNCT
cana-673	25	10	133x	133x	NUM
cana-673	25	11	vol	vol	NOUN
cana-673	25	12	31	31	NUM
cana-673	25	13	no	no	NOUN
cana-673	25	14	.	.	PUNCT
cana-673	26	1	2s	2s	NUM
cana-673	26	2	(	(	PUNCT
cana-673	26	3	2024	2024	NUM
cana-673	26	4	)	)	PUNCT
cana-673	26	5	594	594	NUM
cana-673	26	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-673	26	7	radars	radar	NOUN
cana-673	26	8	,	,	PUNCT
cana-673	26	9	sensor	sensor	NOUN
cana-673	26	10	and	and	CCONJ
cana-673	26	11	geographical	geographical	ADJ
cana-673	26	12	positioning	positioning	NOUN
cana-673	26	13	systems	system	NOUN
cana-673	26	14	acquires	acquire	VERB
cana-673	26	15	surrounding	surround	VERB
cana-673	26	16	information	information	NOUN
cana-673	26	17	related	relate	VERB
cana-673	26	18	to	to	ADP
cana-673	26	19	road	road	NOUN
cana-673	26	20	conditions	condition	NOUN
cana-673	26	21	processed	process	VERB
cana-673	26	22	for	for	ADP
cana-673	26	23	current	current	ADJ
cana-673	26	24	state	state	NOUN
cana-673	26	25	conditions	condition	NOUN
cana-673	26	26	[	[	X
cana-673	26	27	9	9	NUM
cana-673	26	28	-	-	SYM
cana-673	26	29	10	10	NUM
cana-673	26	30	]	]	PUNCT
cana-673	26	31	.	.	PUNCT
cana-673	27	1	the	the	DET
cana-673	27	2	driving	drive	VERB
cana-673	27	3	strategy	strategy	NOUN
cana-673	27	4	decisions	decision	NOUN
cana-673	27	5	and	and	CCONJ
cana-673	27	6	the	the	DET
cana-673	27	7	path	path	NOUN
cana-673	27	8	planning	planning	NOUN
cana-673	27	9	requires	require	VERB
cana-673	27	10	proper	proper	ADJ
cana-673	27	11	high	high	ADJ
cana-673	27	12	level	level	NOUN
cana-673	27	13	semantic	semantic	ADJ
cana-673	27	14	data	datum	NOUN
cana-673	27	15	of	of	ADP
cana-673	27	16	its	its	PRON
cana-673	27	17	current	current	ADJ
cana-673	27	18	coordinates	coordinate	NOUN
cana-673	27	19	for	for	ADP
cana-673	27	20	intelligence	intelligence	NOUN
cana-673	27	21	.	.	PUNCT
cana-673	28	1	the	the	DET
cana-673	28	2	car	car	NOUN
cana-673	28	3	should	should	AUX
cana-673	28	4	be	be	AUX
cana-673	28	5	slowed	slow	VERB
cana-673	28	6	down	down	ADP
cana-673	28	7	when	when	SCONJ
cana-673	28	8	approaching	approach	VERB
cana-673	28	9	a	a	DET
cana-673	28	10	school	school	NOUN
cana-673	28	11	or	or	CCONJ
cana-673	28	12	hospital	hospital	NOUN
cana-673	28	13	,	,	PUNCT
cana-673	28	14	it	it	PRON
cana-673	28	15	should	should	AUX
cana-673	28	16	be	be	AUX
cana-673	28	17	accelerated	accelerate	VERB
cana-673	28	18	along	along	ADP
cana-673	28	19	the	the	DET
cana-673	28	20	highway	highway	NOUN
cana-673	28	21	,	,	PUNCT
cana-673	28	22	make	make	VERB
cana-673	28	23	use	use	NOUN
cana-673	28	24	of	of	ADP
cana-673	28	25	anti	anti	ADJ
cana-673	28	26	-	-	ADJ
cana-673	28	27	skid	skid	ADJ
cana-673	28	28	mechanism	mechanism	NOUN
cana-673	28	29	during	during	ADP
cana-673	28	30	rains	rain	NOUN
cana-673	28	31	and	and	CCONJ
cana-673	28	32	snowy	snowy	ADJ
cana-673	28	33	conditions	condition	NOUN
cana-673	28	34	,	,	PUNCT
cana-673	28	35	stop	stop	VERB
cana-673	28	36	at	at	ADP
cana-673	28	37	a	a	DET
cana-673	28	38	red	red	ADJ
cana-673	28	39	signal	signal	NOUN
cana-673	28	40	,	,	PUNCT
cana-673	28	41	turns	turn	VERB
cana-673	28	42	on	on	ADP
cana-673	28	43	fog	fog	NOUN
cana-673	28	44	lights	light	NOUN
cana-673	28	45	during	during	ADP
cana-673	28	46	dense	dense	ADJ
cana-673	28	47	fog	fog	PROPN
cana-673	28	48	atmosphere	atmosphere	NOUN
cana-673	28	49	,	,	PUNCT
cana-673	28	50	automatically	automatically	ADV
cana-673	28	51	gets	get	AUX
cana-673	28	52	parked	park	VERB
cana-673	28	53	for	for	ADP
cana-673	28	54	drowsiness	drowsiness	NOUN
cana-673	28	55	or	or	CCONJ
cana-673	28	56	drunk	drunk	ADJ
cana-673	28	57	conditions	condition	NOUN
cana-673	28	58	,	,	PUNCT
cana-673	28	59	etc	etc	X
cana-673	28	60	.	.	X
cana-673	29	1	[	[	X
cana-673	29	2	11	11	NUM
cana-673	29	3	-	-	SYM
cana-673	29	4	12	12	NUM
cana-673	29	5	]	]	PUNCT
cana-673	29	6	.	.	PUNCT
cana-673	30	1	many	many	ADJ
cana-673	30	2	researchers	researcher	NOUN
cana-673	30	3	have	have	AUX
cana-673	30	4	suggested	suggest	VERB
cana-673	30	5	object	object	NOUN
cana-673	30	6	detection	detection	NOUN
cana-673	30	7	and	and	CCONJ
cana-673	30	8	classification	classification	NOUN
cana-673	30	9	systems	system	NOUN
cana-673	30	10	over	over	ADP
cana-673	30	11	the	the	DET
cana-673	30	12	traffic	traffic	NOUN
cana-673	30	13	network	network	NOUN
cana-673	30	14	[	[	X
cana-673	30	15	13	13	NUM
cana-673	30	16	-	-	SYM
cana-673	30	17	17	17	NUM
cana-673	30	18	]	]	PUNCT
cana-673	30	19	.	.	PUNCT
cana-673	31	1	the	the	DET
cana-673	31	2	objective	objective	NOUN
cana-673	31	3	of	of	ADP
cana-673	31	4	their	their	PRON
cana-673	31	5	work	work	NOUN
cana-673	31	6	was	be	AUX
cana-673	31	7	to	to	PART
cana-673	31	8	mitigate	mitigate	VERB
cana-673	31	9	the	the	DET
cana-673	31	10	road	road	NOUN
cana-673	31	11	accidents	accident	NOUN
cana-673	31	12	and	and	CCONJ
cana-673	31	13	driver	driver	NOUN
cana-673	31	14	stress	stress	NOUN
cana-673	31	15	during	during	ADP
cana-673	31	16	driving	drive	VERB
cana-673	31	17	vehicles	vehicle	NOUN
cana-673	31	18	[	[	X
cana-673	31	19	18	18	NUM
cana-673	31	20	]	]	PUNCT
cana-673	31	21	.	.	PUNCT
cana-673	32	1	the	the	DET
cana-673	32	2	aim	aim	NOUN
cana-673	32	3	of	of	ADP
cana-673	32	4	their	their	PRON
cana-673	32	5	work	work	NOUN
cana-673	32	6	was	be	AUX
cana-673	32	7	ultimately	ultimately	ADV
cana-673	32	8	to	to	PART
cana-673	32	9	replace	replace	VERB
cana-673	32	10	driver	driver	NOUN
cana-673	32	11	decisions	decision	NOUN
cana-673	32	12	with	with	ADP
cana-673	32	13	autonomous	autonomous	ADJ
cana-673	32	14	vehicle	vehicle	NOUN
cana-673	32	15	system	system	NOUN
cana-673	32	16	making	make	VERB
cana-673	32	17	effective	effective	ADJ
cana-673	32	18	use	use	NOUN
cana-673	32	19	of	of	ADP
cana-673	32	20	perception	perception	NOUN
cana-673	32	21	and	and	CCONJ
cana-673	32	22	intelligent	intelligent	ADJ
cana-673	32	23	decisions	decision	NOUN
cana-673	32	24	.	.	PUNCT
cana-673	33	1	the	the	DET
cana-673	33	2	intelligent	intelligent	ADJ
cana-673	33	3	autonomous	autonomous	ADJ
cana-673	33	4	vehicle	vehicle	NOUN
cana-673	33	5	system	system	NOUN
cana-673	33	6	depends	depend	VERB
cana-673	33	7	on	on	ADP
cana-673	33	8	the	the	DET
cana-673	33	9	fast	fast	ADJ
cana-673	33	10	and	and	CCONJ
cana-673	33	11	accurate	accurate	ADJ
cana-673	33	12	investigation	investigation	NOUN
cana-673	33	13	of	of	ADP
cana-673	33	14	existing	exist	VERB
cana-673	33	15	objects	object	NOUN
cana-673	33	16	.	.	PUNCT
cana-673	34	1	investigation	investigation	NOUN
cana-673	34	2	involves	involve	VERB
cana-673	34	3	nature	nature	NOUN
cana-673	34	4	of	of	ADP
cana-673	34	5	the	the	DET
cana-673	34	6	object	object	NOUN
cana-673	34	7	,	,	PUNCT
cana-673	34	8	size	size	NOUN
cana-673	34	9	and	and	CCONJ
cana-673	34	10	location	location	NOUN
cana-673	34	11	in	in	ADP
cana-673	34	12	the	the	DET
cana-673	34	13	frame	frame	NOUN
cana-673	34	14	acquired	acquire	VERB
cana-673	34	15	.	.	PUNCT
cana-673	35	1	analyzing	analyze	VERB
cana-673	35	2	warning	warning	NOUN
cana-673	35	3	signs	sign	NOUN
cana-673	35	4	is	be	AUX
cana-673	35	5	also	also	ADV
cana-673	35	6	important	important	ADJ
cana-673	35	7	aspect	aspect	NOUN
cana-673	35	8	which	which	PRON
cana-673	35	9	requires	require	VERB
cana-673	35	10	crucial	crucial	ADJ
cana-673	35	11	attention	attention	NOUN
cana-673	35	12	.	.	PUNCT
cana-673	36	1	overall	overall	ADV
cana-673	36	2	,	,	PUNCT
cana-673	36	3	the	the	DET
cana-673	36	4	intelligence	intelligence	NOUN
cana-673	36	5	of	of	ADP
cana-673	36	6	the	the	DET
cana-673	36	7	autonomous	autonomous	ADJ
cana-673	36	8	vehicle	vehicle	NOUN
cana-673	36	9	is	be	AUX
cana-673	36	10	determined	determine	VERB
cana-673	36	11	by	by	ADP
cana-673	36	12	proper	proper	ADJ
cana-673	36	13	analysis	analysis	NOUN
cana-673	36	14	of	of	ADP
cana-673	36	15	various	various	ADJ
cana-673	36	16	objects	object	NOUN
cana-673	36	17	acquired	acquire	VERB
cana-673	36	18	using	use	VERB
cana-673	36	19	the	the	DET
cana-673	36	20	vehicle	vehicle	NOUN
cana-673	36	21	scene	scene	NOUN
cana-673	36	22	acquisition	acquisition	NOUN
cana-673	36	23	system	system	NOUN
cana-673	36	24	.	.	PUNCT
cana-673	37	1	earlier	early	ADJ
cana-673	37	2	work	work	NOUN
cana-673	37	3	proposed	propose	VERB
cana-673	37	4	in	in	ADP
cana-673	37	5	[	[	X
cana-673	37	6	19	19	NUM
cana-673	37	7	]	]	PUNCT
cana-673	37	8	adopted	adopt	VERB
cana-673	37	9	bayesian	bayesian	NOUN
cana-673	37	10	classifier	classifier	NOUN
cana-673	37	11	using	use	VERB
cana-673	37	12	low	low	ADJ
cana-673	37	13	-	-	PUNCT
cana-673	37	14	level	level	NOUN
cana-673	37	15	visual	visual	ADJ
cana-673	37	16	descriptors	descriptor	NOUN
cana-673	37	17	to	to	PART
cana-673	37	18	construct	construct	VERB
cana-673	37	19	series	series	NOUN
cana-673	37	20	of	of	ADP
cana-673	37	21	semantic	semantic	ADJ
cana-673	37	22	tags	tag	NOUN
cana-673	37	23	.	.	PUNCT
cana-673	38	1	the	the	DET
cana-673	38	2	accuracy	accuracy	NOUN
cana-673	38	3	of	of	ADP
cana-673	38	4	such	such	ADJ
cana-673	38	5	scheme	scheme	NOUN
cana-673	38	6	is	be	AUX
cana-673	38	7	low	low	ADJ
cana-673	38	8	due	due	ADJ
cana-673	38	9	to	to	ADP
cana-673	38	10	failure	failure	NOUN
cana-673	38	11	of	of	ADP
cana-673	38	12	such	such	ADJ
cana-673	38	13	scheme	scheme	NOUN
cana-673	38	14	to	to	PART
cana-673	38	15	represent	represent	VERB
cana-673	38	16	the	the	DET
cana-673	38	17	complex	complex	ADJ
cana-673	38	18	visual	visual	ADJ
cana-673	38	19	contents	content	NOUN
cana-673	38	20	using	use	VERB
cana-673	38	21	low	low	ADJ
cana-673	38	22	-	-	PUNCT
cana-673	38	23	level	level	NOUN
cana-673	38	24	one	one	NUM
cana-673	38	25	dimensional	dimensional	ADJ
cana-673	38	26	visual	visual	ADJ
cana-673	38	27	features	feature	NOUN
cana-673	38	28	.	.	PUNCT
cana-673	39	1	the	the	DET
cana-673	39	2	scheme	scheme	NOUN
cana-673	39	3	suggested	suggest	VERB
cana-673	39	4	in	in	ADP
cana-673	39	5	[	[	X
cana-673	39	6	20	20	NUM
cana-673	39	7	]	]	PUNCT
cana-673	39	8	made	make	VERB
cana-673	39	9	use	use	NOUN
cana-673	39	10	of	of	ADP
cana-673	39	11	bag	bag	NOUN
cana-673	39	12	of	of	ADP
cana-673	39	13	words	word	NOUN
cana-673	39	14	for	for	ADP
cana-673	39	15	scene	scene	NOUN
cana-673	39	16	recognitions	recognition	NOUN
cana-673	39	17	to	to	PART
cana-673	39	18	improve	improve	VERB
cana-673	39	19	the	the	DET
cana-673	39	20	generalization	generalization	NOUN
cana-673	39	21	ability	ability	NOUN
cana-673	39	22	as	as	ADP
cana-673	39	23	a	a	DET
cana-673	39	24	part	part	NOUN
cana-673	39	25	of	of	ADP
cana-673	39	26	invariant	invariant	ADJ
cana-673	39	27	features	feature	NOUN
cana-673	39	28	acquired	acquire	VERB
cana-673	39	29	locally	locally	ADV
cana-673	39	30	and	and	CCONJ
cana-673	39	31	probabilistic	probabilistic	ADJ
cana-673	39	32	latent	latent	NOUN
cana-673	39	33	space	space	NOUN
cana-673	39	34	models	model	NOUN
cana-673	39	35	.	.	PUNCT
cana-673	40	1	the	the	DET
cana-673	40	2	authors	author	NOUN
cana-673	40	3	failed	fail	VERB
cana-673	40	4	to	to	PART
cana-673	40	5	satisfy	satisfy	VERB
cana-673	40	6	the	the	DET
cana-673	40	7	requirement	requirement	NOUN
cana-673	40	8	for	for	ADP
cana-673	40	9	self	self	NOUN
cana-673	40	10	-	-	PUNCT
cana-673	40	11	driving	drive	VERB
cana-673	40	12	cars	car	NOUN
cana-673	40	13	as	as	ADP
cana-673	40	14	a	a	DET
cana-673	40	15	fact	fact	NOUN
cana-673	40	16	that	that	SCONJ
cana-673	40	17	bag	bag	NOUN
cana-673	40	18	of	of	ADP
cana-673	40	19	words	word	NOUN
cana-673	40	20	neglected	neglect	VERB
cana-673	40	21	the	the	DET
cana-673	40	22	impression	impression	NOUN
cana-673	40	23	of	of	ADP
cana-673	40	24	synonyms	synonym	NOUN
cana-673	40	25	and	and	CCONJ
cana-673	40	26	polysemous	polysemous	ADJ
cana-673	40	27	.	.	PUNCT
cana-673	41	1	deep	deep	ADJ
cana-673	41	2	learning	learning	NOUN
cana-673	41	3	techniques	technique	NOUN
cana-673	41	4	have	have	AUX
cana-673	41	5	been	be	AUX
cana-673	41	6	a	a	DET
cana-673	41	7	boon	boon	NOUN
cana-673	41	8	in	in	ADP
cana-673	41	9	various	various	ADJ
cana-673	41	10	fields	field	NOUN
cana-673	41	11	of	of	ADP
cana-673	41	12	image	image	NOUN
cana-673	41	13	and	and	CCONJ
cana-673	41	14	speech	speech	NOUN
cana-673	41	15	processing	processing	NOUN
cana-673	41	16	applications	application	NOUN
cana-673	41	17	[	[	X
cana-673	41	18	21	21	NUM
cana-673	41	19	-	-	SYM
cana-673	41	20	24	24	NUM
cana-673	41	21	]	]	PUNCT
cana-673	41	22	.	.	PUNCT
cana-673	42	1	recent	recent	ADJ
cana-673	42	2	researchers	researcher	NOUN
cana-673	42	3	had	have	AUX
cana-673	42	4	made	make	VERB
cana-673	42	5	effective	effective	ADJ
cana-673	42	6	use	use	NOUN
cana-673	42	7	of	of	ADP
cana-673	42	8	deep	deep	ADJ
cana-673	42	9	learning	learning	NOUN
cana-673	42	10	tools	tool	NOUN
cana-673	42	11	for	for	ADP
cana-673	42	12	scene	scene	NOUN
cana-673	42	13	classification	classification	NOUN
cana-673	42	14	problems	problem	NOUN
cana-673	42	15	especially	especially	ADV
cana-673	42	16	using	use	VERB
cana-673	42	17	the	the	DET
cana-673	42	18	convolutional	convolutional	ADJ
cana-673	42	19	neural	neural	ADJ
cana-673	42	20	networks	network	NOUN
cana-673	42	21	.	.	PUNCT
cana-673	43	1	a	a	DET
cana-673	43	2	cost	cost	NOUN
cana-673	43	3	function	function	NOUN
cana-673	43	4	was	be	AUX
cana-673	43	5	estimated	estimate	VERB
cana-673	43	6	using	use	VERB
cana-673	43	7	different	different	ADJ
cana-673	43	8	classification	classification	NOUN
cana-673	43	9	patterns	pattern	NOUN
cana-673	43	10	of	of	ADP
cana-673	43	11	the	the	DET
cana-673	43	12	scene	scene	NOUN
cana-673	43	13	which	which	PRON
cana-673	43	14	was	be	AUX
cana-673	43	15	used	use	VERB
cana-673	43	16	for	for	ADP
cana-673	43	17	training	train	VERB
cana-673	43	18	a	a	DET
cana-673	43	19	multi	multi	ADJ
cana-673	43	20	-	-	ADJ
cana-673	43	21	label	label	ADJ
cana-673	43	22	neural	neural	ADJ
cana-673	43	23	network	network	NOUN
cana-673	43	24	in	in	ADP
cana-673	43	25	[	[	X
cana-673	43	26	25	25	NUM
cana-673	43	27	]	]	PUNCT
cana-673	43	28	.	.	PUNCT
cana-673	44	1	the	the	DET
cana-673	44	2	work	work	NOUN
cana-673	44	3	carried	carry	VERB
cana-673	44	4	out	out	ADP
cana-673	44	5	in	in	ADP
cana-673	44	6	[	[	X
cana-673	44	7	26	26	NUM
cana-673	44	8	]	]	PUNCT
cana-673	44	9	focussed	focusse	VERB
cana-673	44	10	on	on	ADP
cana-673	44	11	various	various	ADJ
cana-673	44	12	dimension	dimension	NOUN
cana-673	44	13	including	include	VERB
cana-673	44	14	the	the	DET
cana-673	44	15	type	type	NOUN
cana-673	44	16	of	of	ADP
cana-673	44	17	road	road	NOUN
cana-673	44	18	,	,	PUNCT
cana-673	44	19	time	time	NOUN
cana-673	44	20	period	period	NOUN
cana-673	44	21	and	and	CCONJ
cana-673	44	22	the	the	DET
cana-673	44	23	weather	weather	NOUN
cana-673	44	24	conditions	condition	NOUN
cana-673	44	25	which	which	PRON
cana-673	44	26	improved	improve	VERB
cana-673	44	27	the	the	DET
cana-673	44	28	classification	classification	NOUN
cana-673	44	29	accuracy	accuracy	NOUN
cana-673	44	30	of	of	ADP
cana-673	44	31	the	the	DET
cana-673	44	32	semantic	semantic	ADJ
cana-673	44	33	perception	perception	NOUN
cana-673	44	34	.	.	PUNCT
cana-673	45	1	googlenet	googlenet	PROPN
cana-673	45	2	was	be	AUX
cana-673	45	3	used	use	VERB
cana-673	45	4	for	for	ADP
cana-673	45	5	feature	feature	NOUN
cana-673	45	6	extraction	extraction	NOUN
cana-673	45	7	at	at	ADP
cana-673	45	8	three	three	NUM
cana-673	45	9	different	different	ADJ
cana-673	45	10	levels	level	NOUN
cana-673	45	11	of	of	ADP
cana-673	45	12	the	the	DET
cana-673	45	13	network	network	NOUN
cana-673	45	14	and	and	CCONJ
cana-673	45	15	further	far	ADV
cana-673	45	16	the	the	DET
cana-673	45	17	features	feature	NOUN
cana-673	45	18	were	be	AUX
cana-673	45	19	fused	fuse	VERB
cana-673	45	20	for	for	ADP
cana-673	45	21	final	final	ADJ
cana-673	45	22	decision	decision	NOUN
cana-673	46	1	[	[	X
cana-673	46	2	27	27	NUM
cana-673	46	3	]	]	PUNCT
cana-673	46	4	.	.	PUNCT
cana-673	47	1	features	feature	NOUN
cana-673	47	2	at	at	ADP
cana-673	47	3	small	small	ADJ
cana-673	47	4	and	and	CCONJ
cana-673	47	5	large	large	ADJ
cana-673	47	6	scales	scale	NOUN
cana-673	47	7	were	be	AUX
cana-673	47	8	extracted	extract	VERB
cana-673	47	9	to	to	PART
cana-673	47	10	collect	collect	VERB
cana-673	47	11	visual	visual	ADJ
cana-673	47	12	structure	structure	NOUN
cana-673	47	13	using	use	VERB
cana-673	47	14	fine	fine	ADJ
cana-673	47	15	and	and	CCONJ
cana-673	47	16	coarse	coarse	ADJ
cana-673	47	17	resolution	resolution	NOUN
cana-673	47	18	cnn	cnn	PROPN
cana-673	47	19	in	in	ADP
cana-673	47	20	[	[	X
cana-673	47	21	28	28	NUM
cana-673	47	22	]	]	PUNCT
cana-673	47	23	.	.	PUNCT
cana-673	48	1	as	as	ADV
cana-673	48	2	far	far	ADV
cana-673	48	3	as	as	SCONJ
cana-673	48	4	the	the	DET
cana-673	48	5	available	available	ADJ
cana-673	48	6	scene	scene	NOUN
cana-673	48	7	datasets	dataset	NOUN
cana-673	48	8	are	be	AUX
cana-673	48	9	considered	consider	VERB
cana-673	48	10	,	,	PUNCT
cana-673	48	11	two	two	NUM
cana-673	48	12	main	main	ADJ
cana-673	48	13	aspects	aspect	NOUN
cana-673	48	14	makes	make	VERB
cana-673	48	15	the	the	DET
cana-673	48	16	scene	scene	NOUN
cana-673	48	17	classification	classification	NOUN
cana-673	48	18	problem	problem	NOUN
cana-673	48	19	a	a	DET
cana-673	48	20	complex	complex	ADJ
cana-673	48	21	issue	issue	NOUN
cana-673	48	22	.	.	PUNCT
cana-673	49	1	the	the	DET
cana-673	49	2	first	first	ADJ
cana-673	49	3	aspects	aspect	NOUN
cana-673	49	4	is	be	AUX
cana-673	49	5	the	the	DET
cana-673	49	6	disparities	disparity	NOUN
cana-673	49	7	among	among	ADP
cana-673	49	8	the	the	DET
cana-673	49	9	same	same	ADJ
cana-673	49	10	category	category	NOUN
cana-673	49	11	images	image	NOUN
cana-673	49	12	and	and	CCONJ
cana-673	49	13	the	the	DET
cana-673	49	14	second	second	ADJ
cana-673	49	15	is	be	AUX
cana-673	49	16	visual	visual	ADJ
cana-673	49	17	similarities	similarity	NOUN
cana-673	49	18	among	among	ADP
cana-673	49	19	different	different	ADJ
cana-673	49	20	categories	category	NOUN
cana-673	49	21	of	of	ADP
cana-673	49	22	images	image	NOUN
cana-673	49	23	.	.	PUNCT
cana-673	50	1	to	to	PART
cana-673	50	2	deal	deal	VERB
cana-673	50	3	with	with	ADP
cana-673	50	4	the	the	DET
cana-673	50	5	above	above	ADJ
cana-673	50	6	problem	problem	NOUN
cana-673	50	7	,	,	PUNCT
cana-673	50	8	we	we	PRON
cana-673	50	9	considered	consider	VERB
cana-673	50	10	scene	scene	NOUN
cana-673	50	11	images	image	NOUN
cana-673	50	12	from	from	ADP
cana-673	50	13	different	different	ADJ
cana-673	50	14	datasets	dataset	NOUN
cana-673	50	15	with	with	ADP
cana-673	50	16	four	four	NUM
cana-673	50	17	different	different	ADJ
cana-673	50	18	categories	category	NOUN
cana-673	50	19	including	include	VERB
cana-673	50	20	crosswalk	crosswalk	NOUN
cana-673	50	21	,	,	PUNCT
cana-673	50	22	highway	highway	NOUN
cana-673	50	23	,	,	PUNCT
cana-673	50	24	overpass	overpass	NOUN
cana-673	50	25	-	-	PUNCT
cana-673	50	26	tunnel	tunnel	NOUN
cana-673	50	27	,	,	PUNCT
cana-673	50	28	and	and	CCONJ
cana-673	50	29	the	the	DET
cana-673	50	30	parking	parking	NOUN
cana-673	50	31	.	.	PUNCT
cana-673	51	1	to	to	PART
cana-673	51	2	enhance	enhance	VERB
cana-673	51	3	the	the	DET
cana-673	51	4	complexity	complexity	NOUN
cana-673	51	5	of	of	ADP
cana-673	51	6	the	the	DET
cana-673	51	7	scene	scene	NOUN
cana-673	51	8	classification	classification	NOUN
cana-673	51	9	problem	problem	NOUN
cana-673	51	10	we	we	PRON
cana-673	51	11	combined	combine	VERB
cana-673	51	12	the	the	DET
cana-673	51	13	over	over	ADP
cana-673	51	14	pass	pass	NOUN
cana-673	51	15	and	and	CCONJ
cana-673	51	16	tunnel	tunnel	NOUN
cana-673	51	17	categories	category	NOUN
cana-673	51	18	into	into	ADP
cana-673	51	19	a	a	DET
cana-673	51	20	single	single	ADJ
cana-673	51	21	class	class	NOUN
cana-673	51	22	.	.	PUNCT
cana-673	52	1	also	also	ADV
cana-673	52	2	,	,	PUNCT
cana-673	52	3	the	the	DET
cana-673	52	4	road	road	NOUN
cana-673	52	5	scene	scene	NOUN
cana-673	52	6	images	image	NOUN
cana-673	52	7	considered	consider	VERB
cana-673	52	8	involved	involved	ADJ
cana-673	52	9	scene	scene	NOUN
cana-673	52	10	considering	consider	VERB
cana-673	52	11	all	all	DET
cana-673	52	12	atmospheric	atmospheric	ADJ
cana-673	52	13	and	and	CCONJ
cana-673	52	14	weather	weather	NOUN
cana-673	52	15	conditions	condition	NOUN
cana-673	52	16	such	such	ADJ
cana-673	52	17	as	as	ADP
cana-673	52	18	day	day	NOUN
cana-673	52	19	,	,	PUNCT
cana-673	52	20	night	night	NOUN
cana-673	52	21	,	,	PUNCT
cana-673	52	22	rain	rain	NOUN
cana-673	52	23	,	,	PUNCT
cana-673	52	24	snowy	snowy	NOUN
cana-673	52	25	and	and	CCONJ
cana-673	52	26	etc	etc	X
cana-673	52	27	.	.	X
cana-673	53	1	the	the	DET
cana-673	53	2	images	image	NOUN
cana-673	53	3	were	be	AUX
cana-673	53	4	collected	collect	VERB
cana-673	53	5	from	from	ADP
cana-673	53	6	four	four	NUM
cana-673	53	7	different	different	ADJ
cana-673	53	8	datasets	dataset	NOUN
cana-673	53	9	namely	namely	ADV
cana-673	53	10	bdd100k	bdd100k	X
cana-673	54	1	[	[	X
cana-673	54	2	29	29	NUM
cana-673	54	3	]	]	PUNCT
cana-673	54	4	,	,	PUNCT
cana-673	54	5	labelme	labelme	VERB
cana-673	55	1	[	[	X
cana-673	55	2	30	30	NUM
cana-673	55	3	]	]	PUNCT
cana-673	55	4	,	,	PUNCT
cana-673	55	5	kitti	kitti	PROPN
cana-673	56	1	[	[	X
cana-673	56	2	31	31	NUM
cana-673	56	3	]	]	PUNCT
cana-673	56	4	and	and	CCONJ
cana-673	56	5	places365	places365	VERB
cana-673	57	1	[	[	X
cana-673	57	2	32	32	NUM
cana-673	57	3	]	]	PUNCT
cana-673	57	4	.	.	PUNCT
cana-673	58	1	different	different	ADJ
cana-673	58	2	datasets	dataset	NOUN
cana-673	58	3	have	have	VERB
cana-673	58	4	images	image	NOUN
cana-673	58	5	with	with	ADP
cana-673	58	6	different	different	ADJ
cana-673	58	7	dimension	dimension	NOUN
cana-673	58	8	and	and	CCONJ
cana-673	58	9	diverse	diverse	ADJ
cana-673	58	10	illumination	illumination	NOUN
cana-673	58	11	conditions	condition	NOUN
cana-673	58	12	.	.	PUNCT
cana-673	59	1	this	this	PRON
cana-673	59	2	increases	increase	VERB
cana-673	59	3	the	the	DET
cana-673	59	4	communications	communication	NOUN
cana-673	59	5	on	on	ADP
cana-673	59	6	applied	apply	VERB
cana-673	59	7	nonlinear	nonlinear	ADJ
cana-673	59	8	analysis	analysis	NOUN
cana-673	59	9	issn	issn	NOUN
cana-673	59	10	:	:	PUNCT
cana-673	59	11	1074	1074	NUM
cana-673	59	12	-	-	PUNCT
cana-673	59	13	133x	133x	NUM
cana-673	59	14	vol	vol	NOUN
cana-673	59	15	31	31	NUM
cana-673	59	16	no	no	NOUN
cana-673	59	17	.	.	PUNCT
cana-673	60	1	2s	2s	NUM
cana-673	60	2	(	(	PUNCT
cana-673	60	3	2024	2024	NUM
cana-673	60	4	)	)	PUNCT
cana-673	60	5	595	595	NUM
cana-673	60	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-673	60	7	complexity	complexity	NOUN
cana-673	60	8	for	for	ADP
cana-673	60	9	classification	classification	NOUN
cana-673	60	10	and	and	CCONJ
cana-673	60	11	requires	require	VERB
cana-673	60	12	more	more	ADV
cana-673	60	13	robust	robust	ADJ
cana-673	60	14	feature	feature	NOUN
cana-673	60	15	set	set	VERB
cana-673	60	16	at	at	ADP
cana-673	60	17	fine	fine	ADJ
cana-673	60	18	and	and	CCONJ
cana-673	60	19	coarse	coarse	ADJ
cana-673	60	20	level	level	NOUN
cana-673	60	21	.	.	PUNCT
cana-673	61	1	also	also	ADV
cana-673	61	2	,	,	PUNCT
cana-673	61	3	the	the	DET
cana-673	61	4	objects	object	NOUN
cana-673	61	5	in	in	ADP
cana-673	61	6	the	the	DET
cana-673	61	7	scene	scene	NOUN
cana-673	61	8	need	need	VERB
cana-673	61	9	to	to	PART
cana-673	61	10	be	be	AUX
cana-673	61	11	located	locate	VERB
cana-673	61	12	for	for	ADP
cana-673	61	13	better	well	ADJ
cana-673	61	14	correlation	correlation	NOUN
cana-673	61	15	among	among	ADP
cana-673	61	16	the	the	DET
cana-673	61	17	classes	class	NOUN
cana-673	61	18	.	.	PUNCT
cana-673	62	1	based	base	VERB
cana-673	62	2	on	on	ADP
cana-673	62	3	these	these	DET
cana-673	62	4	aspects	aspect	NOUN
cana-673	62	5	,	,	PUNCT
cana-673	62	6	the	the	DET
cana-673	62	7	proposed	propose	VERB
cana-673	62	8	work	work	NOUN
cana-673	62	9	extract	extract	NOUN
cana-673	62	10	features	feature	NOUN
cana-673	62	11	at	at	ADP
cana-673	62	12	local	local	ADJ
cana-673	62	13	and	and	CCONJ
cana-673	62	14	coarse	coarse	ADJ
cana-673	62	15	level	level	NOUN
cana-673	62	16	including	include	VERB
cana-673	62	17	the	the	DET
cana-673	62	18	handcrafted	handcraft	VERB
cana-673	62	19	and	and	CCONJ
cana-673	62	20	blind	blind	ADJ
cana-673	62	21	features	feature	NOUN
cana-673	62	22	using	use	VERB
cana-673	62	23	deep	deep	ADJ
cana-673	62	24	networks	network	NOUN
cana-673	62	25	.	.	PUNCT
cana-673	63	1	lastly	lastly	ADV
cana-673	63	2	,	,	PUNCT
cana-673	63	3	the	the	DET
cana-673	63	4	features	feature	NOUN
cana-673	63	5	are	be	AUX
cana-673	63	6	concatenated	concatenate	VERB
cana-673	63	7	to	to	PART
cana-673	63	8	realize	realize	VERB
cana-673	63	9	scene	scene	NOUN
cana-673	63	10	classification	classification	NOUN
cana-673	63	11	with	with	ADP
cana-673	63	12	greater	great	ADJ
cana-673	63	13	accuracy	accuracy	NOUN
cana-673	63	14	.	.	PUNCT
cana-673	64	1	some	some	PRON
cana-673	64	2	of	of	ADP
cana-673	64	3	the	the	DET
cana-673	64	4	sample	sample	NOUN
cana-673	64	5	images	image	NOUN
cana-673	64	6	from	from	ADP
cana-673	64	7	all	all	DET
cana-673	64	8	datasets	dataset	NOUN
cana-673	64	9	belonging	belong	VERB
cana-673	64	10	to	to	ADP
cana-673	64	11	different	different	ADJ
cana-673	64	12	categories	category	NOUN
cana-673	64	13	are	be	AUX
cana-673	64	14	shown	show	VERB
cana-673	64	15	in	in	ADP
cana-673	64	16	figure	figure	NOUN
cana-673	64	17	1	1	NUM
cana-673	64	18	below	below	ADV
cana-673	64	19	.	.	PUNCT
cana-673	65	1	figure	figure	VERB
cana-673	65	2	1	1	NUM
cana-673	65	3	–	–	PUNCT
cana-673	65	4	images	image	NOUN
cana-673	65	5	from	from	ADP
cana-673	65	6	all	all	DET
cana-673	65	7	four	four	NUM
cana-673	65	8	categories	category	NOUN
cana-673	65	9	for	for	ADP
cana-673	65	10	scene	scene	NOUN
cana-673	65	11	classification	classification	NOUN
cana-673	65	12	.	.	PUNCT
cana-673	66	1	a	a	DET
cana-673	66	2	crosswalk	crosswalk	NOUN
cana-673	66	3	,	,	PUNCT
cana-673	66	4	highway	highway	NOUN
cana-673	66	5	,	,	PUNCT
cana-673	66	6	over	over	ADP
cana-673	66	7	pass	pass	NOUN
cana-673	66	8	and	and	CCONJ
cana-673	66	9	parking	parking	NOUN
cana-673	66	10	.	.	PUNCT
cana-673	67	1	the	the	DET
cana-673	67	2	work	work	NOUN
cana-673	67	3	claims	claim	VERB
cana-673	67	4	the	the	DET
cana-673	67	5	following	follow	VERB
cana-673	67	6	contributions	contribution	NOUN
cana-673	67	7	:	:	PUNCT
cana-673	67	8	1	1	X
cana-673	67	9	.	.	X
cana-673	67	10	objects	object	NOUN
cana-673	67	11	in	in	ADP
cana-673	67	12	the	the	DET
cana-673	67	13	scene	scene	NOUN
cana-673	67	14	are	be	AUX
cana-673	67	15	detection	detection	NOUN
cana-673	67	16	using	use	VERB
cana-673	67	17	the	the	DET
cana-673	67	18	yolov5	yolov5	NOUN
cana-673	67	19	network	network	NOUN
cana-673	67	20	and	and	CCONJ
cana-673	67	21	further	further	ADJ
cana-673	67	22	features	feature	NOUN
cana-673	67	23	are	be	AUX
cana-673	67	24	extracted	extract	VERB
cana-673	67	25	for	for	ADP
cana-673	67	26	every	every	DET
cana-673	67	27	object	object	NOUN
cana-673	67	28	using	use	VERB
cana-673	67	29	modified	modified	ADJ
cana-673	67	30	vgg19	vgg19	NOUN
cana-673	67	31	network	network	NOUN
cana-673	67	32	and	and	CCONJ
cana-673	67	33	summed	sum	VERB
cana-673	67	34	up	up	ADP
cana-673	67	35	for	for	ADP
cana-673	67	36	dimension	dimension	NOUN
cana-673	67	37	reduction	reduction	NOUN
cana-673	67	38	.	.	PUNCT
cana-673	68	1	2	2	X
cana-673	68	2	.	.	NUM
cana-673	68	3	handcrafted	handcraft	VERB
cana-673	68	4	low	low	ADJ
cana-673	68	5	and	and	CCONJ
cana-673	68	6	high	high	ADJ
cana-673	68	7	level	level	NOUN
cana-673	68	8	features	feature	NOUN
cana-673	68	9	on	on	ADP
cana-673	68	10	gray	gray	ADJ
cana-673	68	11	scale	scale	NOUN
cana-673	68	12	image	image	NOUN
cana-673	68	13	are	be	AUX
cana-673	68	14	also	also	ADV
cana-673	68	15	extracted	extract	VERB
cana-673	68	16	to	to	PART
cana-673	68	17	improve	improve	VERB
cana-673	68	18	the	the	DET
cana-673	68	19	disparities	disparity	NOUN
cana-673	68	20	among	among	ADP
cana-673	68	21	the	the	DET
cana-673	68	22	classes	class	NOUN
cana-673	68	23	for	for	ADP
cana-673	68	24	better	well	ADJ
cana-673	68	25	classification	classification	NOUN
cana-673	68	26	.	.	PUNCT
cana-673	69	1	the	the	DET
cana-673	69	2	features	feature	NOUN
cana-673	69	3	includes	include	VERB
cana-673	69	4	,	,	PUNCT
cana-673	69	5	wavelet	wavelet	NOUN
cana-673	69	6	based	base	VERB
cana-673	69	7	features	feature	NOUN
cana-673	69	8	,	,	PUNCT
cana-673	69	9	local	local	ADJ
cana-673	69	10	binary	binary	ADJ
cana-673	69	11	pattern	pattern	NOUN
cana-673	69	12	based	base	VERB
cana-673	69	13	features	feature	NOUN
cana-673	69	14	,	,	PUNCT
cana-673	69	15	gray	gray	ADJ
cana-673	69	16	level	level	NOUN
cana-673	69	17	co	co	NOUN
cana-673	69	18	-	-	ADJ
cana-673	69	19	occurrence	occurrence	ADJ
cana-673	69	20	matrix	matrix	NOUN
cana-673	69	21	features	feature	NOUN
cana-673	69	22	,	,	PUNCT
cana-673	69	23	histogram	histogram	NOUN
cana-673	69	24	of	of	ADP
cana-673	69	25	gaussian	gaussian	ADJ
cana-673	69	26	features	feature	NOUN
cana-673	69	27	,	,	PUNCT
cana-673	69	28	and	and	CCONJ
cana-673	69	29	matched	match	VERB
cana-673	69	30	filter	filter	NOUN
cana-673	69	31	coefficients	coefficient	NOUN
cana-673	69	32	.	.	PUNCT
cana-673	70	1	3	3	X
cana-673	70	2	.	.	X
cana-673	70	3	blind	blind	ADJ
cana-673	70	4	features	feature	NOUN
cana-673	70	5	using	use	VERB
cana-673	70	6	vgg19	vgg19	PRON
cana-673	70	7	directly	directly	ADV
cana-673	70	8	on	on	ADP
cana-673	70	9	color	color	NOUN
cana-673	70	10	image	image	NOUN
cana-673	70	11	are	be	AUX
cana-673	70	12	extracted	extract	VERB
cana-673	70	13	from	from	ADP
cana-673	70	14	the	the	DET
cana-673	70	15	last	last	ADJ
cana-673	70	16	layer	layer	NOUN
cana-673	70	17	of	of	ADP
cana-673	70	18	the	the	DET
cana-673	70	19	network	network	NOUN
cana-673	70	20	to	to	PART
cana-673	70	21	cover	cover	VERB
cana-673	70	22	the	the	DET
cana-673	70	23	depth	depth	NOUN
cana-673	70	24	information	information	NOUN
cana-673	70	25	of	of	ADP
cana-673	70	26	the	the	DET
cana-673	70	27	images	image	NOUN
cana-673	70	28	.	.	PUNCT
cana-673	71	1	4	4	X
cana-673	71	2	.	.	X
cana-673	71	3	all	all	DET
cana-673	71	4	the	the	DET
cana-673	71	5	features	feature	NOUN
cana-673	71	6	from	from	ADP
cana-673	71	7	step	step	NOUN
cana-673	71	8	1	1	NUM
cana-673	71	9	to	to	PART
cana-673	71	10	3	3	NUM
cana-673	71	11	are	be	AUX
cana-673	71	12	lastly	lastly	ADV
cana-673	71	13	concatenated	concatenate	VERB
cana-673	71	14	to	to	PART
cana-673	71	15	represent	represent	VERB
cana-673	71	16	an	an	DET
cana-673	71	17	image	image	NOUN
cana-673	71	18	from	from	ADP
cana-673	71	19	the	the	DET
cana-673	71	20	set	set	NOUN
cana-673	71	21	.	.	PUNCT
cana-673	72	1	a	a	DET
cana-673	72	2	fully	fully	ADV
cana-673	72	3	connected	connect	VERB
cana-673	72	4	layer	layer	NOUN
cana-673	72	5	with	with	ADP
cana-673	72	6	softmax	softmax	NOUN
cana-673	72	7	function	function	NOUN
cana-673	72	8	is	be	AUX
cana-673	72	9	trained	train	VERB
cana-673	72	10	on	on	ADP
cana-673	72	11	75	75	NUM
cana-673	72	12	%	%	NOUN
cana-673	72	13	of	of	ADP
cana-673	72	14	images	image	NOUN
cana-673	72	15	from	from	ADP
cana-673	72	16	each	each	DET
cana-673	72	17	category	category	NOUN
cana-673	72	18	.	.	PUNCT
cana-673	73	1	10	10	NUM
cana-673	73	2	%	%	NOUN
cana-673	73	3	images	image	NOUN
cana-673	73	4	are	be	AUX
cana-673	73	5	used	use	VERB
cana-673	73	6	to	to	PART
cana-673	73	7	validate	validate	VERB
cana-673	73	8	the	the	DET
cana-673	73	9	network	network	NOUN
cana-673	73	10	while	while	SCONJ
cana-673	73	11	remaining	remain	VERB
cana-673	73	12	15	15	NUM
cana-673	73	13	%	%	NOUN
cana-673	73	14	are	be	AUX
cana-673	73	15	used	use	VERB
cana-673	73	16	to	to	PART
cana-673	73	17	test	test	VERB
cana-673	73	18	the	the	DET
cana-673	73	19	trained	train	VERB
cana-673	73	20	network	network	NOUN
cana-673	73	21	.	.	PUNCT
cana-673	74	1	the	the	DET
cana-673	74	2	organization	organization	NOUN
cana-673	74	3	of	of	ADP
cana-673	74	4	the	the	DET
cana-673	74	5	article	article	NOUN
cana-673	74	6	is	be	AUX
cana-673	74	7	as	as	SCONJ
cana-673	74	8	follows	follow	VERB
cana-673	74	9	:	:	PUNCT
cana-673	74	10	section	section	PROPN
cana-673	74	11	ii	ii	PROPN
cana-673	74	12	covers	cover	VERB
cana-673	74	13	the	the	DET
cana-673	74	14	review	review	NOUN
cana-673	74	15	part	part	NOUN
cana-673	74	16	of	of	ADP
cana-673	74	17	recent	recent	ADJ
cana-673	74	18	state	state	NOUN
cana-673	74	19	-	-	PUNCT
cana-673	74	20	of	of	ADP
cana-673	74	21	-	-	PUNCT
cana-673	74	22	the	the	DET
cana-673	74	23	-	-	PUNCT
cana-673	74	24	art	art	NOUN
cana-673	74	25	work	work	NOUN
cana-673	74	26	contributed	contribute	VERB
cana-673	74	27	to	to	PART
cana-673	74	28	scene	scene	VERB
cana-673	74	29	classification	classification	NOUN
cana-673	74	30	,	,	PUNCT
cana-673	74	31	section	section	NOUN
cana-673	74	32	iii	iii	NUM
cana-673	74	33	deals	deal	NOUN
cana-673	74	34	with	with	ADP
cana-673	74	35	datasets	dataset	NOUN
cana-673	74	36	and	and	CCONJ
cana-673	74	37	proposed	propose	VERB
cana-673	74	38	scene	scene	NOUN
cana-673	74	39	classification	classification	NOUN
cana-673	74	40	system	system	NOUN
cana-673	74	41	,	,	PUNCT
cana-673	74	42	section	section	NOUN
cana-673	74	43	iv	iv	NUM
cana-673	74	44	discusses	discuss	VERB
cana-673	74	45	the	the	DET
cana-673	74	46	performance	performance	NOUN
cana-673	74	47	of	of	ADP
cana-673	74	48	the	the	DET
cana-673	74	49	proposed	propose	VERB
cana-673	74	50	system	system	NOUN
cana-673	74	51	and	and	CCONJ
cana-673	74	52	the	the	DET
cana-673	74	53	last	last	ADJ
cana-673	74	54	section	section	NOUN
cana-673	74	55	concludes	conclude	VERB
cana-673	74	56	the	the	DET
cana-673	74	57	article	article	NOUN
cana-673	74	58	.	.	PUNCT
cana-673	75	1	2	2	X
cana-673	75	2	.	.	X
cana-673	75	3	related	relate	VERB
cana-673	75	4	work	work	NOUN
cana-673	75	5	an	an	DET
cana-673	75	6	object	object	NOUN
cana-673	75	7	detection	detection	NOUN
cana-673	75	8	mechanism	mechanism	NOUN
cana-673	75	9	was	be	AUX
cana-673	75	10	incorporated	incorporate	VERB
cana-673	75	11	using	use	VERB
cana-673	75	12	machine	machine	NOUN
cana-673	75	13	learning	learn	VERB
cana-673	75	14	to	to	PART
cana-673	75	15	investigate	investigate	VERB
cana-673	75	16	the	the	DET
cana-673	75	17	presence	presence	NOUN
cana-673	75	18	of	of	ADP
cana-673	75	19	seven	seven	NUM
cana-673	75	20	different	different	ADJ
cana-673	75	21	objects	object	NOUN
cana-673	75	22	in	in	ADP
cana-673	75	23	[	[	X
cana-673	75	24	33	33	NUM
cana-673	75	25	]	]	PUNCT
cana-673	75	26	.	.	PUNCT
cana-673	76	1	images	image	NOUN
cana-673	76	2	from	from	ADP
cana-673	76	3	two	two	NUM
cana-673	76	4	different	different	ADJ
cana-673	76	5	datasets	dataset	NOUN
cana-673	76	6	were	be	AUX
cana-673	76	7	considered	consider	VERB
cana-673	76	8	for	for	ADP
cana-673	76	9	evaluating	evaluate	VERB
cana-673	76	10	the	the	DET
cana-673	76	11	performance	performance	NOUN
cana-673	76	12	.	.	PUNCT
cana-673	77	1	they	they	PRON
cana-673	77	2	pre	pre	VERB
cana-673	77	3	-	-	VERB
cana-673	77	4	processed	process	VERB
cana-673	77	5	the	the	DET
cana-673	77	6	data	datum	NOUN
cana-673	77	7	to	to	PART
cana-673	77	8	handle	handle	VERB
cana-673	77	9	missing	miss	VERB
cana-673	77	10	values	value	NOUN
cana-673	77	11	and	and	CCONJ
cana-673	77	12	used	use	VERB
cana-673	77	13	six	six	NUM
cana-673	77	14	different	different	ADJ
cana-673	77	15	machine	machine	NOUN
cana-673	77	16	learning	learning	NOUN
cana-673	77	17	based	base	VERB
cana-673	77	18	classifiers	classifier	NOUN
cana-673	77	19	to	to	PART
cana-673	77	20	classify	classify	VERB
cana-673	77	21	the	the	DET
cana-673	77	22	objects	object	NOUN
cana-673	77	23	.	.	PUNCT
cana-673	78	1	they	they	PRON
cana-673	78	2	studied	study	VERB
cana-673	78	3	the	the	DET
cana-673	78	4	effect	effect	NOUN
cana-673	78	5	of	of	ADP
cana-673	78	6	imbalanced	imbalanced	ADJ
cana-673	78	7	data	datum	NOUN
cana-673	78	8	,	,	PUNCT
cana-673	78	9	incomplete	incomplete	ADJ
cana-673	78	10	data	datum	NOUN
cana-673	78	11	and	and	CCONJ
cana-673	78	12	elimination	elimination	NOUN
cana-673	78	13	of	of	ADP
cana-673	78	14	low	low	ADJ
cana-673	78	15	views	view	NOUN
cana-673	78	16	and	and	CCONJ
cana-673	78	17	redundant	redundant	ADJ
cana-673	78	18	samples	sample	NOUN
cana-673	78	19	.	.	PUNCT
cana-673	79	1	with	with	ADP
cana-673	79	2	80	80	NUM
cana-673	79	3	:	:	SYM
cana-673	79	4	20	20	NUM
cana-673	79	5	split	split	NOUN
cana-673	79	6	,	,	PUNCT
cana-673	79	7	they	they	PRON
cana-673	79	8	evaluated	evaluate	VERB
cana-673	79	9	the	the	DET
cana-673	79	10	performance	performance	NOUN
cana-673	79	11	of	of	ADP
cana-673	79	12	their	their	PRON
cana-673	79	13	system	system	NOUN
cana-673	79	14	using	use	VERB
cana-673	79	15	different	different	ADJ
cana-673	79	16	metrics	metric	NOUN
cana-673	79	17	.	.	PUNCT
cana-673	80	1	a	a	DET
cana-673	80	2	hybrid	hybrid	ADJ
cana-673	80	3	approach	approach	NOUN
cana-673	80	4	incorporating	incorporate	VERB
cana-673	80	5	features	feature	NOUN
cana-673	80	6	from	from	ADP
cana-673	80	7	two	two	NUM
cana-673	80	8	state	state	NOUN
cana-673	80	9	-	-	PUNCT
cana-673	80	10	of	of	ADP
cana-673	80	11	-	-	PUNCT
cana-673	80	12	the	the	DET
cana-673	80	13	-	-	PUNCT
cana-673	80	14	art	art	NOUN
cana-673	80	15	object	object	NOUN
cana-673	80	16	detection	detection	NOUN
cana-673	80	17	models	model	NOUN
cana-673	80	18	viz	viz	VERB
cana-673	80	19	.	.	PUNCT
cana-673	81	1	yolo	yolo	PROPN
cana-673	81	2	and	and	CCONJ
cana-673	81	3	fast	fast	ADJ
cana-673	81	4	rcnn	rcnn	NOUN
cana-673	81	5	were	be	AUX
cana-673	81	6	used	use	VERB
cana-673	81	7	to	to	PART
cana-673	81	8	improve	improve	VERB
cana-673	81	9	the	the	DET
cana-673	81	10	object	object	NOUN
cana-673	81	11	detection	detection	NOUN
cana-673	81	12	accuracy	accuracy	NOUN
cana-673	81	13	and	and	CCONJ
cana-673	81	14	segmentation	segmentation	NOUN
cana-673	81	15	[	[	X
cana-673	81	16	34	34	NUM
cana-673	81	17	]	]	PUNCT
cana-673	81	18	.	.	PUNCT
cana-673	82	1	they	they	PRON
cana-673	82	2	used	use	VERB
cana-673	82	3	yolo	yolo	PROPN
cana-673	82	4	’s	’s	PART
cana-673	82	5	capability	capability	NOUN
cana-673	82	6	of	of	ADP
cana-673	82	7	object	object	NOUN
cana-673	82	8	detection	detection	NOUN
cana-673	82	9	and	and	CCONJ
cana-673	82	10	the	the	DET
cana-673	82	11	bounding	bounding	NOUN
cana-673	82	12	box	box	NOUN
cana-673	82	13	selection	selection	NOUN
cana-673	82	14	characteristics	characteristic	NOUN
cana-673	82	15	and	and	CCONJ
cana-673	82	16	combined	combine	VERB
cana-673	82	17	with	with	ADP
cana-673	82	18	fast	fast	ADJ
cana-673	82	19	rcnn	rcnn	PROPN
cana-673	82	20	’s	’s	PART
cana-673	82	21	region	region	NOUN
cana-673	82	22	of	of	ADP
cana-673	82	23	interest	interest	NOUN
cana-673	82	24	pooling	pool	VERB
cana-673	82	25	to	to	PART
cana-673	82	26	improve	improve	VERB
cana-673	82	27	the	the	DET
cana-673	82	28	segmentation	segmentation	NOUN
cana-673	82	29	and	and	CCONJ
cana-673	82	30	the	the	DET
cana-673	82	31	classification	classification	NOUN
cana-673	82	32	.	.	PUNCT
cana-673	83	1	they	they	PRON
cana-673	83	2	communications	communication	VERB
cana-673	83	3	on	on	ADP
cana-673	83	4	applied	apply	VERB
cana-673	83	5	nonlinear	nonlinear	ADJ
cana-673	83	6	analysis	analysis	NOUN
cana-673	83	7	issn	issn	NOUN
cana-673	83	8	:	:	PUNCT
cana-673	83	9	1074	1074	NUM
cana-673	83	10	-	-	PUNCT
cana-673	83	11	133x	133x	NUM
cana-673	83	12	vol	vol	NOUN
cana-673	83	13	31	31	NUM
cana-673	83	14	no	no	NOUN
cana-673	83	15	.	.	PUNCT
cana-673	84	1	2s	2s	NUM
cana-673	84	2	(	(	PUNCT
cana-673	84	3	2024	2024	NUM
cana-673	84	4	)	)	PUNCT
cana-673	84	5	596	596	NUM
cana-673	84	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-673	84	7	also	also	ADV
cana-673	84	8	reduced	reduce	VERB
cana-673	84	9	the	the	DET
cana-673	84	10	processing	processing	NOUN
cana-673	84	11	time	time	NOUN
cana-673	84	12	of	of	ADP
cana-673	84	13	fast	fast	ADJ
cana-673	84	14	rcnn	rcnn	NOUN
cana-673	84	15	by	by	ADP
cana-673	84	16	eliminating	eliminate	VERB
cana-673	84	17	the	the	DET
cana-673	84	18	region	region	NOUN
cana-673	84	19	proposal	proposal	NOUN
cana-673	84	20	network	network	NOUN
cana-673	84	21	and	and	CCONJ
cana-673	84	22	trained	train	VERB
cana-673	84	23	the	the	DET
cana-673	84	24	network	network	NOUN
cana-673	84	25	over	over	ADP
cana-673	84	26	10000	10000	NUM
cana-673	84	27	images	image	NOUN
cana-673	84	28	.	.	PUNCT
cana-673	85	1	they	they	PRON
cana-673	85	2	obtained	obtain	VERB
cana-673	85	3	5	5	NUM
cana-673	85	4	-	-	SYM
cana-673	85	5	7	7	NUM
cana-673	85	6	%	%	NOUN
cana-673	85	7	increase	increase	NOUN
cana-673	85	8	in	in	ADP
cana-673	85	9	accuracy	accuracy	NOUN
cana-673	85	10	as	as	SCONJ
cana-673	85	11	compared	compare	VERB
cana-673	85	12	to	to	ADP
cana-673	85	13	standalone	standalone	ADJ
cana-673	85	14	yolo	yolo	ADJ
cana-673	85	15	network	network	NOUN
cana-673	85	16	.	.	PUNCT
cana-673	86	1	the	the	DET
cana-673	86	2	work	work	NOUN
cana-673	86	3	proposed	propose	VERB
cana-673	86	4	in	in	ADP
cana-673	86	5	[	[	X
cana-673	86	6	35	35	NUM
cana-673	86	7	]	]	PUNCT
cana-673	86	8	used	use	VERB
cana-673	86	9	context	context	NOUN
cana-673	86	10	based	base	VERB
cana-673	86	11	saliency	saliency	NOUN
cana-673	86	12	detection	detection	NOUN
cana-673	86	13	algorithm	algorithm	NOUN
cana-673	86	14	for	for	ADP
cana-673	86	15	marking	mark	VERB
cana-673	86	16	the	the	DET
cana-673	86	17	visual	visual	ADJ
cana-673	86	18	attention	attention	NOUN
cana-673	86	19	regions	region	NOUN
cana-673	86	20	(	(	PUNCT
cana-673	86	21	var	var	NOUN
cana-673	86	22	)	)	PUNCT
cana-673	86	23	in	in	ADP
cana-673	86	24	the	the	DET
cana-673	86	25	scene	scene	NOUN
cana-673	86	26	.	.	PUNCT
cana-673	87	1	the	the	DET
cana-673	87	2	var	var	NOUN
cana-673	87	3	is	be	AUX
cana-673	87	4	further	far	ADV
cana-673	87	5	enhanced	enhance	VERB
cana-673	87	6	by	by	ADP
cana-673	87	7	superimposing	superimpose	VERB
cana-673	87	8	it	it	PRON
cana-673	87	9	on	on	ADP
cana-673	87	10	the	the	DET
cana-673	87	11	original	original	ADJ
cana-673	87	12	image	image	NOUN
cana-673	87	13	.	.	PUNCT
cana-673	88	1	a	a	DET
cana-673	88	2	deep	deep	ADJ
cana-673	88	3	cnn	cnn	NOUN
cana-673	88	4	pre	pre	VERB
cana-673	88	5	-	-	VERB
cana-673	88	6	trained	train	VERB
cana-673	88	7	on	on	ADP
cana-673	88	8	places365	places365	PROPN
cana-673	88	9	was	be	AUX
cana-673	88	10	used	use	VERB
cana-673	88	11	to	to	PART
cana-673	88	12	extract	extract	VERB
cana-673	88	13	features	feature	NOUN
cana-673	88	14	from	from	ADP
cana-673	88	15	the	the	DET
cana-673	88	16	var	var	NOUN
cana-673	88	17	,	,	PUNCT
cana-673	88	18	enhanced	enhance	VERB
cana-673	88	19	var	var	NOUN
cana-673	88	20	and	and	CCONJ
cana-673	88	21	the	the	DET
cana-673	88	22	original	original	ADJ
cana-673	88	23	image	image	NOUN
cana-673	88	24	.	.	PUNCT
cana-673	89	1	a	a	DET
cana-673	89	2	classification	classification	NOUN
cana-673	89	3	model	model	NOUN
cana-673	89	4	based	base	VERB
cana-673	89	5	on	on	ADP
cana-673	89	6	deep	deep	ADJ
cana-673	89	7	cnn	cnn	PROPN
cana-673	89	8	was	be	AUX
cana-673	89	9	used	use	VERB
cana-673	89	10	to	to	PART
cana-673	89	11	test	test	VERB
cana-673	89	12	the	the	DET
cana-673	89	13	effectiveness	effectiveness	NOUN
cana-673	89	14	of	of	ADP
cana-673	89	15	the	the	DET
cana-673	89	16	model	model	NOUN
cana-673	89	17	on	on	ADP
cana-673	89	18	four	four	NUM
cana-673	89	19	distinct	distinct	ADJ
cana-673	89	20	datasets	dataset	NOUN
cana-673	89	21	.	.	PUNCT
cana-673	90	1	they	they	PRON
cana-673	90	2	fused	fuse	VERB
cana-673	90	3	the	the	DET
cana-673	90	4	output	output	NOUN
cana-673	90	5	from	from	ADP
cana-673	90	6	layer	layer	NOUN
cana-673	90	7	6	6	NUM
cana-673	90	8	and	and	CCONJ
cana-673	90	9	layer	layer	NOUN
cana-673	90	10	7	7	NUM
cana-673	90	11	of	of	ADP
cana-673	90	12	the	the	DET
cana-673	90	13	alexnet	alexnet	ADJ
cana-673	90	14	network	network	NOUN
cana-673	90	15	to	to	PART
cana-673	90	16	generate	generate	VERB
cana-673	90	17	the	the	DET
cana-673	90	18	deep	deep	ADJ
cana-673	90	19	fusion	fusion	NOUN
cana-673	90	20	features	feature	NOUN
cana-673	90	21	of	of	ADP
cana-673	90	22	the	the	DET
cana-673	90	23	image	image	NOUN
cana-673	90	24	.	.	PUNCT
cana-673	91	1	combining	combine	VERB
cana-673	91	2	the	the	DET
cana-673	91	3	deep	deep	ADJ
cana-673	91	4	fusion	fusion	NOUN
cana-673	91	5	features	feature	NOUN
cana-673	91	6	,	,	PUNCT
cana-673	91	7	they	they	PRON
cana-673	91	8	used	use	VERB
cana-673	91	9	random	random	ADJ
cana-673	91	10	forest	forest	NOUN
cana-673	91	11	to	to	PART
cana-673	91	12	train	train	VERB
cana-673	91	13	the	the	DET
cana-673	91	14	classifier	classifier	NOUN
cana-673	91	15	.	.	PUNCT
cana-673	92	1	the	the	DET
cana-673	92	2	scene	scene	NOUN
cana-673	92	3	depth	depth	NOUN
cana-673	92	4	intrinsic	intrinsic	ADJ
cana-673	92	5	characteristics	characteristic	NOUN
cana-673	92	6	and	and	CCONJ
cana-673	92	7	contextual	contextual	ADJ
cana-673	92	8	semantic	semantic	ADJ
cana-673	92	9	correlation	correlation	NOUN
cana-673	92	10	helped	help	VERB
cana-673	92	11	to	to	PART
cana-673	92	12	improve	improve	VERB
cana-673	92	13	the	the	DET
cana-673	92	14	classification	classification	NOUN
cana-673	92	15	accuracy	accuracy	NOUN
cana-673	92	16	.	.	PUNCT
cana-673	93	1	local	local	ADJ
cana-673	93	2	semantic	semantic	ADJ
cana-673	93	3	features	feature	NOUN
cana-673	93	4	were	be	AUX
cana-673	93	5	extracted	extract	VERB
cana-673	93	6	by	by	ADP
cana-673	93	7	modifying	modify	VERB
cana-673	93	8	the	the	DET
cana-673	93	9	faster	fast	ADJ
cana-673	93	10	rcnn	rcnn	PROPN
cana-673	93	11	network	network	NOUN
cana-673	93	12	and	and	CCONJ
cana-673	93	13	adding	add	VERB
cana-673	93	14	residual	residual	ADJ
cana-673	93	15	attention	attention	NOUN
cana-673	93	16	structure	structure	NOUN
cana-673	93	17	in	in	ADP
cana-673	93	18	[	[	X
cana-673	93	19	36	36	NUM
cana-673	93	20	]	]	PUNCT
cana-673	93	21	whereas	whereas	SCONJ
cana-673	93	22	global	global	ADJ
cana-673	93	23	features	feature	NOUN
cana-673	93	24	were	be	AUX
cana-673	93	25	extracted	extract	VERB
cana-673	93	26	using	use	VERB
cana-673	93	27	improved	improve	VERB
cana-673	93	28	inception	inception	ADJ
cana-673	93	29	network	network	NOUN
cana-673	93	30	.	.	PUNCT
cana-673	94	1	the	the	DET
cana-673	94	2	later	later	ADJ
cana-673	94	3	network	network	NOUN
cana-673	94	4	is	be	AUX
cana-673	94	5	presented	present	VERB
cana-673	94	6	with	with	ADP
cana-673	94	7	leaky	leaky	ADJ
cana-673	94	8	relu	relu	NOUN
cana-673	94	9	and	and	CCONJ
cana-673	94	10	the	the	DET
cana-673	94	11	elu	elu	PROPN
cana-673	94	12	function	function	NOUN
cana-673	94	13	in	in	ADP
cana-673	94	14	order	order	NOUN
cana-673	94	15	to	to	PART
cana-673	94	16	reduce	reduce	VERB
cana-673	94	17	the	the	DET
cana-673	94	18	redundancy	redundancy	NOUN
cana-673	94	19	of	of	ADP
cana-673	94	20	convolution	convolution	NOUN
cana-673	94	21	kernel	kernel	NOUN
cana-673	94	22	.	.	PUNCT
cana-673	95	1	further	far	ADV
cana-673	95	2	,	,	PUNCT
cana-673	95	3	both	both	CCONJ
cana-673	95	4	the	the	DET
cana-673	95	5	features	feature	NOUN
cana-673	95	6	were	be	AUX
cana-673	95	7	fused	fuse	VERB
cana-673	95	8	to	to	PART
cana-673	95	9	realize	realize	VERB
cana-673	95	10	the	the	DET
cana-673	95	11	scene	scene	NOUN
cana-673	95	12	classification	classification	NOUN
cana-673	95	13	.	.	PUNCT
cana-673	96	1	the	the	DET
cana-673	96	2	author	author	NOUN
cana-673	96	3	built	build	VERB
cana-673	96	4	their	their	PRON
cana-673	96	5	own	own	ADJ
cana-673	96	6	dataset	dataset	NOUN
cana-673	96	7	to	to	PART
cana-673	96	8	classify	classify	VERB
cana-673	96	9	different	different	ADJ
cana-673	96	10	scenes	scene	NOUN
cana-673	96	11	for	for	ADP
cana-673	96	12	self	self	NOUN
cana-673	96	13	-	-	PUNCT
cana-673	96	14	driving	drive	VERB
cana-673	96	15	cars	car	NOUN
cana-673	96	16	.	.	PUNCT
cana-673	97	1	the	the	DET
cana-673	97	2	work	work	NOUN
cana-673	97	3	does	do	AUX
cana-673	97	4	not	not	PART
cana-673	97	5	considered	consider	VERB
cana-673	97	6	heterogeneous	heterogeneous	ADJ
cana-673	97	7	road	road	NOUN
cana-673	97	8	agents	agent	NOUN
cana-673	97	9	.	.	PUNCT
cana-673	98	1	the	the	DET
cana-673	98	2	work	work	NOUN
cana-673	98	3	presented	present	VERB
cana-673	98	4	in	in	ADP
cana-673	98	5	[	[	X
cana-673	98	6	37	37	NUM
cana-673	98	7	]	]	PUNCT
cana-673	98	8	used	use	VERB
cana-673	98	9	vehicle	vehicle	NOUN
cana-673	98	10	gps	gps	PROPN
cana-673	98	11	location	location	NOUN
cana-673	98	12	for	for	ADP
cana-673	98	13	scene	scene	NOUN
cana-673	98	14	classification	classification	NOUN
cana-673	98	15	.	.	PUNCT
cana-673	99	1	the	the	DET
cana-673	99	2	image	image	NOUN
cana-673	99	3	features	feature	NOUN
cana-673	99	4	were	be	AUX
cana-673	99	5	extracted	extract	VERB
cana-673	99	6	using	use	VERB
cana-673	99	7	the	the	DET
cana-673	99	8	vgg16	vgg16	NOUN
cana-673	99	9	network	network	NOUN
cana-673	99	10	pre	pre	VERB
cana-673	99	11	-	-	VERB
cana-673	99	12	trained	train	VERB
cana-673	99	13	on	on	ADP
cana-673	99	14	places365	places365	PRON
cana-673	99	15	dataset	dataset	VERB
cana-673	99	16	.	.	PUNCT
cana-673	100	1	they	they	PRON
cana-673	100	2	classified	classify	VERB
cana-673	100	3	scenes	scene	NOUN
cana-673	100	4	related	relate	VERB
cana-673	100	5	to	to	ADP
cana-673	100	6	urban	urban	ADJ
cana-673	100	7	,	,	PUNCT
cana-673	100	8	rural	rural	ADJ
cana-673	100	9	and	and	CCONJ
cana-673	100	10	the	the	DET
cana-673	100	11	highways	highway	NOUN
cana-673	100	12	from	from	ADP
cana-673	100	13	the	the	DET
cana-673	100	14	kitti	kitti	PROPN
cana-673	100	15	datasets	dataset	NOUN
cana-673	100	16	.	.	PUNCT
cana-673	101	1	a	a	DET
cana-673	101	2	novel	novel	ADJ
cana-673	101	3	object	object	NOUN
cana-673	101	4	detection	detection	NOUN
cana-673	101	5	scheme	scheme	NOUN
cana-673	101	6	was	be	AUX
cana-673	101	7	introduced	introduce	VERB
cana-673	101	8	by	by	ADP
cana-673	101	9	[	[	X
cana-673	101	10	38	38	NUM
cana-673	101	11	]	]	PUNCT
cana-673	101	12	for	for	ADP
cana-673	101	13	autonomous	autonomous	ADJ
cana-673	101	14	driving	driving	NOUN
cana-673	101	15	using	use	VERB
cana-673	101	16	the	the	DET
cana-673	101	17	yolov5	yolov5	NOUN
cana-673	101	18	network	network	NOUN
cana-673	101	19	.	.	PUNCT
cana-673	102	1	the	the	DET
cana-673	102	2	network	network	NOUN
cana-673	102	3	was	be	AUX
cana-673	102	4	used	use	VERB
cana-673	102	5	with	with	ADP
cana-673	102	6	structural	structural	ADJ
cana-673	102	7	re	re	NOUN
cana-673	102	8	-	-	NOUN
cana-673	102	9	parameterization	parameterization	ADJ
cana-673	102	10	,	,	PUNCT
cana-673	102	11	small	small	ADJ
cana-673	102	12	objects	object	NOUN
cana-673	102	13	detection	detection	NOUN
cana-673	102	14	module	module	NOUN
cana-673	102	15	,	,	PUNCT
cana-673	102	16	search	search	NOUN
cana-673	102	17	module	module	NOUN
cana-673	102	18	and	and	CCONJ
cana-673	102	19	coordinate	coordinate	VERB
cana-673	102	20	attention	attention	NOUN
cana-673	102	21	strategy	strategy	NOUN
cana-673	102	22	.	.	PUNCT
cana-673	103	1	the	the	DET
cana-673	103	2	algorithm	algorithm	NOUN
cana-673	103	3	was	be	AUX
cana-673	103	4	tested	test	VERB
cana-673	103	5	on	on	ADP
cana-673	103	6	kitti	kitti	PROPN
cana-673	103	7	dataset	dataset	VERB
cana-673	103	8	with	with	ADP
cana-673	103	9	improved	improved	ADJ
cana-673	103	10	accuracy	accuracy	NOUN
cana-673	103	11	and	and	CCONJ
cana-673	103	12	low	low	ADJ
cana-673	103	13	computational	computational	ADJ
cana-673	103	14	complexity	complexity	NOUN
cana-673	103	15	.	.	PUNCT
cana-673	104	1	the	the	DET
cana-673	104	2	algorithm	algorithm	NOUN
cana-673	104	3	suffered	suffer	VERB
cana-673	104	4	from	from	ADP
cana-673	104	5	noise	noise	NOUN
cana-673	104	6	and	and	CCONJ
cana-673	104	7	occlusion	occlusion	NOUN
cana-673	104	8	sensitivity	sensitivity	NOUN
cana-673	104	9	and	and	CCONJ
cana-673	104	10	higher	high	ADJ
cana-673	104	11	amount	amount	NOUN
cana-673	104	12	of	of	ADP
cana-673	104	13	training	training	NOUN
cana-673	104	14	data	datum	NOUN
cana-673	104	15	.	.	PUNCT
cana-673	105	1	3	3	X
cana-673	105	2	.	.	NUM
cana-673	105	3	proposed	propose	VERB
cana-673	105	4	work	work	NOUN
cana-673	105	5	the	the	DET
cana-673	105	6	scene	scene	NOUN
cana-673	105	7	classification	classification	NOUN
cana-673	105	8	model	model	NOUN
cana-673	105	9	considers	consider	VERB
cana-673	105	10	images	image	NOUN
cana-673	105	11	of	of	ADP
cana-673	105	12	four	four	NUM
cana-673	105	13	different	different	ADJ
cana-673	105	14	categories	category	NOUN
cana-673	105	15	obtained	obtain	VERB
cana-673	105	16	from	from	ADP
cana-673	105	17	different	different	ADJ
cana-673	105	18	datasets	dataset	NOUN
cana-673	105	19	.	.	PUNCT
cana-673	106	1	the	the	DET
cana-673	106	2	aim	aim	NOUN
cana-673	106	3	is	be	AUX
cana-673	106	4	to	to	PART
cana-673	106	5	increase	increase	VERB
cana-673	106	6	the	the	DET
cana-673	106	7	complexity	complexity	NOUN
cana-673	106	8	of	of	ADP
cana-673	106	9	the	the	DET
cana-673	106	10	problem	problem	NOUN
cana-673	106	11	under	under	ADP
cana-673	106	12	consideration	consideration	NOUN
cana-673	106	13	and	and	CCONJ
cana-673	106	14	test	test	VERB
cana-673	106	15	the	the	DET
cana-673	106	16	proposed	propose	VERB
cana-673	106	17	classification	classification	NOUN
cana-673	106	18	scenario	scenario	NOUN
cana-673	106	19	under	under	ADP
cana-673	106	20	the	the	DET
cana-673	106	21	worst	bad	ADJ
cana-673	106	22	conditions	condition	NOUN
cana-673	106	23	.	.	PUNCT
cana-673	107	1	the	the	DET
cana-673	107	2	first	first	ADJ
cana-673	107	3	challenge	challenge	NOUN
cana-673	107	4	introduced	introduce	VERB
cana-673	107	5	is	be	AUX
cana-673	107	6	the	the	DET
cana-673	107	7	number	number	NOUN
cana-673	107	8	of	of	ADP
cana-673	107	9	samples	sample	NOUN
cana-673	107	10	from	from	ADP
cana-673	107	11	each	each	DET
cana-673	107	12	category	category	NOUN
cana-673	107	13	.	.	PUNCT
cana-673	108	1	we	we	PRON
cana-673	108	2	have	have	AUX
cana-673	108	3	manually	manually	ADV
cana-673	108	4	separated	separate	VERB
cana-673	108	5	the	the	DET
cana-673	108	6	images	image	NOUN
cana-673	108	7	in	in	ADP
cana-673	108	8	four	four	NUM
cana-673	108	9	categories	category	NOUN
cana-673	108	10	pertaining	pertain	VERB
cana-673	108	11	to	to	ADP
cana-673	108	12	classes	class	NOUN
cana-673	108	13	:	:	PUNCT
cana-673	108	14	crosswalk	crosswalk	NOUN
cana-673	108	15	,	,	PUNCT
cana-673	108	16	highway	highway	NOUN
cana-673	108	17	,	,	PUNCT
cana-673	108	18	over	over	ADP
cana-673	108	19	pass	pass	NOUN
cana-673	108	20	-	-	PUNCT
cana-673	108	21	tunnel	tunnel	NOUN
cana-673	108	22	and	and	CCONJ
cana-673	108	23	parking	parking	NOUN
cana-673	108	24	.	.	PUNCT
cana-673	109	1	table	table	NOUN
cana-673	109	2	i	i	PRON
cana-673	109	3	below	below	ADV
cana-673	109	4	shows	show	VERB
cana-673	109	5	the	the	DET
cana-673	109	6	number	number	NOUN
cana-673	109	7	of	of	ADP
cana-673	109	8	sample	sample	NOUN
cana-673	109	9	images	image	NOUN
cana-673	109	10	considered	consider	VERB
cana-673	109	11	for	for	ADP
cana-673	109	12	the	the	DET
cana-673	109	13	proposed	propose	VERB
cana-673	109	14	work	work	NOUN
cana-673	109	15	.	.	PUNCT
cana-673	110	1	the	the	DET
cana-673	110	2	second	second	ADJ
cana-673	110	3	complexity	complexity	NOUN
cana-673	110	4	is	be	AUX
cana-673	110	5	with	with	ADP
cana-673	110	6	the	the	DET
cana-673	110	7	diverse	diverse	ADJ
cana-673	110	8	nature	nature	NOUN
cana-673	110	9	of	of	ADP
cana-673	110	10	images	image	NOUN
cana-673	110	11	since	since	SCONJ
cana-673	110	12	they	they	PRON
cana-673	110	13	are	be	AUX
cana-673	110	14	obtained	obtain	VERB
cana-673	110	15	from	from	ADP
cana-673	110	16	different	different	ADJ
cana-673	110	17	source	source	NOUN
cana-673	110	18	datasets	dataset	NOUN
cana-673	110	19	(	(	PUNCT
cana-673	110	20	bdd100k	bdd100k	X
cana-673	110	21	,	,	PUNCT
cana-673	110	22	labelme	labelme	NOUN
cana-673	110	23	,	,	PUNCT
cana-673	110	24	kitti	kitti	PROPN
cana-673	110	25	and	and	CCONJ
cana-673	110	26	places365	places365	PROPN
cana-673	110	27	)	)	PUNCT
cana-673	110	28	which	which	PRON
cana-673	110	29	possess	possess	VERB
cana-673	110	30	different	different	ADJ
cana-673	110	31	dimensions	dimension	NOUN
cana-673	110	32	and	and	CCONJ
cana-673	110	33	different	different	ADJ
cana-673	110	34	lighting	lighting	NOUN
cana-673	110	35	conditions	condition	NOUN
cana-673	110	36	.	.	PUNCT
cana-673	111	1	figure	figure	NOUN
cana-673	111	2	2	2	NUM
cana-673	111	3	below	below	ADV
cana-673	111	4	shows	show	VERB
cana-673	111	5	some	some	DET
cana-673	111	6	examples	example	NOUN
cana-673	111	7	from	from	ADP
cana-673	111	8	the	the	DET
cana-673	111	9	datasets	dataset	NOUN
cana-673	111	10	.	.	PUNCT
cana-673	112	1	the	the	DET
cana-673	112	2	third	third	ADJ
cana-673	112	3	crucial	crucial	ADJ
cana-673	112	4	parameter	parameter	NOUN
cana-673	112	5	considered	consider	VERB
cana-673	112	6	is	be	AUX
cana-673	112	7	related	relate	VERB
cana-673	112	8	to	to	ADP
cana-673	112	9	objects	object	NOUN
cana-673	112	10	which	which	PRON
cana-673	112	11	are	be	AUX
cana-673	112	12	not	not	PART
cana-673	112	13	clear	clear	ADJ
cana-673	112	14	enough	enough	ADV
cana-673	112	15	to	to	PART
cana-673	112	16	be	be	AUX
cana-673	112	17	distinguished	distinguish	VERB
cana-673	112	18	easily	easily	ADV
cana-673	112	19	.	.	PUNCT
cana-673	113	1	figure	figure	VERB
cana-673	113	2	3	3	NUM
cana-673	113	3	shows	show	VERB
cana-673	113	4	the	the	DET
cana-673	113	5	relevant	relevant	ADJ
cana-673	113	6	objects	object	NOUN
cana-673	113	7	to	to	PART
cana-673	113	8	be	be	AUX
cana-673	113	9	detected	detect	VERB
cana-673	113	10	from	from	ADP
cana-673	113	11	the	the	DET
cana-673	113	12	scene	scene	NOUN
cana-673	113	13	which	which	PRON
cana-673	113	14	are	be	AUX
cana-673	113	15	not	not	PART
cana-673	113	16	significant	significant	ADJ
cana-673	113	17	for	for	ADP
cana-673	113	18	the	the	DET
cana-673	113	19	class	class	NOUN
cana-673	113	20	under	under	ADP
cana-673	113	21	which	which	PRON
cana-673	113	22	they	they	PRON
cana-673	113	23	are	be	AUX
cana-673	113	24	considered	consider	VERB
cana-673	113	25	as	as	ADP
cana-673	113	26	compared	compare	VERB
cana-673	113	27	to	to	ADP
cana-673	113	28	other	other	ADJ
cana-673	113	29	objects	object	NOUN
cana-673	113	30	.	.	PUNCT
cana-673	114	1	as	as	SCONJ
cana-673	114	2	compared	compare	VERB
cana-673	114	3	to	to	PART
cana-673	114	4	figure	figure	VERB
cana-673	114	5	1	1	NUM
cana-673	114	6	,	,	PUNCT
cana-673	114	7	the	the	DET
cana-673	114	8	main	main	ADJ
cana-673	114	9	objects	object	NOUN
cana-673	114	10	in	in	ADP
cana-673	114	11	figure	figure	NOUN
cana-673	114	12	2	2	NUM
cana-673	114	13	as	as	ADP
cana-673	114	14	per	per	ADP
cana-673	114	15	their	their	PRON
cana-673	114	16	categories	category	NOUN
cana-673	114	17	which	which	PRON
cana-673	114	18	they	they	PRON
cana-673	114	19	belongs	belong	VERB
cana-673	114	20	,	,	PUNCT
cana-673	114	21	are	be	AUX
cana-673	114	22	not	not	PART
cana-673	114	23	easily	easily	ADV
cana-673	114	24	identified	identify	VERB
cana-673	114	25	.	.	PUNCT
cana-673	115	1	we	we	PRON
cana-673	115	2	have	have	AUX
cana-673	115	3	intentionally	intentionally	ADV
cana-673	115	4	selected	select	VERB
cana-673	115	5	some	some	DET
cana-673	115	6	images	image	NOUN
cana-673	115	7	which	which	PRON
cana-673	115	8	belongs	belong	VERB
cana-673	115	9	to	to	ADP
cana-673	115	10	more	more	ADJ
cana-673	115	11	than	than	ADP
cana-673	115	12	one	one	NUM
cana-673	115	13	categories	category	NOUN
cana-673	115	14	to	to	PART
cana-673	115	15	increase	increase	VERB
cana-673	115	16	the	the	DET
cana-673	115	17	complexity	complexity	NOUN
cana-673	115	18	.	.	PUNCT
cana-673	116	1	communications	communication	NOUN
cana-673	116	2	on	on	ADP
cana-673	116	3	applied	apply	VERB
cana-673	116	4	nonlinear	nonlinear	ADJ
cana-673	116	5	analysis	analysis	NOUN
cana-673	116	6	issn	issn	NOUN
cana-673	116	7	:	:	PUNCT
cana-673	116	8	1074	1074	NUM
cana-673	116	9	-	-	PUNCT
cana-673	116	10	133x	133x	NUM
cana-673	116	11	vol	vol	NOUN
cana-673	116	12	31	31	NUM
cana-673	116	13	no	no	NOUN
cana-673	116	14	.	.	PUNCT
cana-673	117	1	2s	2s	NUM
cana-673	117	2	(	(	PUNCT
cana-673	117	3	2024	2024	NUM
cana-673	117	4	)	)	PUNCT
cana-673	117	5	597	597	NUM
cana-673	117	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-673	117	7	table	table	NOUN
cana-673	117	8	i	i	PRON
cana-673	117	9	–	–	PUNCT
cana-673	117	10	number	number	NOUN
cana-673	117	11	of	of	ADP
cana-673	117	12	sample	sample	NOUN
cana-673	117	13	images	image	NOUN
cana-673	117	14	considered	consider	VERB
cana-673	117	15	in	in	ADP
cana-673	117	16	each	each	DET
cana-673	117	17	category	category	NOUN
cana-673	117	18	for	for	ADP
cana-673	117	19	scene	scene	NOUN
cana-673	117	20	classification	classification	NOUN
cana-673	117	21	class	class	NOUN
cana-673	117	22	name	name	NOUN
cana-673	117	23	of	of	ADP
cana-673	117	24	the	the	DET
cana-673	117	25	class	class	NOUN
cana-673	117	26	number	number	NOUN
cana-673	117	27	of	of	ADP
cana-673	117	28	images	image	NOUN
cana-673	117	29	1	1	NUM
cana-673	117	30	crosswalk	crosswalk	NOUN
cana-673	117	31	700	700	NUM
cana-673	117	32	2	2	NUM
cana-673	117	33	highway	highway	NOUN
cana-673	117	34	700	700	NUM
cana-673	117	35	3	3	NUM
cana-673	117	36	over	over	ADP
cana-673	117	37	pass	pass	NOUN
cana-673	117	38	-	-	PUNCT
cana-673	117	39	tunnel	tunnel	NOUN
cana-673	117	40	625	625	NUM
cana-673	117	41	4	4	NUM
cana-673	117	42	parking	parking	NOUN
cana-673	117	43	700	700	NUM
cana-673	117	44	(	(	PUNCT
cana-673	117	45	a	a	PRON
cana-673	117	46	)	)	PUNCT
cana-673	117	47	crosswalk	crosswalk	NOUN
cana-673	117	48	(	(	PUNCT
cana-673	117	49	night	night	NOUN
cana-673	117	50	)	)	PUNCT
cana-673	117	51	(	(	PUNCT
cana-673	117	52	b	b	X
cana-673	117	53	)	)	PUNCT
cana-673	117	54	highway	highway	NOUN
cana-673	117	55	(	(	PUNCT
cana-673	117	56	without	without	ADP
cana-673	117	57	vehicles	vehicle	NOUN
cana-673	117	58	)	)	PUNCT
cana-673	117	59	(	(	PUNCT
cana-673	117	60	c	c	NOUN
cana-673	117	61	)	)	PUNCT
cana-673	117	62	over	over	ADP
cana-673	117	63	pass	pass	NOUN
cana-673	117	64	/	/	SYM
cana-673	117	65	tunnel	tunnel	NOUN
cana-673	117	66	(	(	PUNCT
cana-673	117	67	d	d	NOUN
cana-673	117	68	)	)	PUNCT
cana-673	117	69	parking	parking	NOUN
cana-673	117	70	(	(	PUNCT
cana-673	117	71	road	road	NOUN
cana-673	117	72	side	side	NOUN
cana-673	117	73	and	and	CCONJ
cana-673	117	74	parking	parking	NOUN
cana-673	117	75	lot	lot	NOUN
cana-673	117	76	)	)	PUNCT
cana-673	117	77	figure	figure	NOUN
cana-673	117	78	2	2	NUM
cana-673	117	79	–	–	PUNCT
cana-673	117	80	sample	sample	NOUN
cana-673	117	81	images	image	NOUN
cana-673	117	82	from	from	ADP
cana-673	117	83	all	all	DET
cana-673	117	84	four	four	NUM
cana-673	117	85	categories	category	NOUN
cana-673	117	86	.	.	PUNCT
cana-673	118	1	(	(	PUNCT
cana-673	118	2	a	a	X
cana-673	118	3	)	)	PUNCT
cana-673	118	4	crosswalk	crosswalk	NOUN
cana-673	118	5	at	at	ADP
cana-673	118	6	night	night	NOUN
cana-673	118	7	.	.	PUNCT
cana-673	119	1	(	(	PUNCT
cana-673	119	2	b	b	X
cana-673	119	3	)	)	PUNCT
cana-673	119	4	highway	highway	NOUN
cana-673	119	5	without	without	ADP
cana-673	119	6	traffic	traffic	NOUN
cana-673	119	7	.	.	PUNCT
cana-673	120	1	(	(	PUNCT
cana-673	120	2	c	c	X
cana-673	120	3	)	)	PUNCT
cana-673	120	4	over	over	ADP
cana-673	120	5	pass	pass	NOUN
cana-673	120	6	/	/	SYM
cana-673	120	7	tunnel	tunnel	NOUN
cana-673	120	8	.	.	PUNCT
cana-673	121	1	(	(	PUNCT
cana-673	121	2	d	d	X
cana-673	121	3	)	)	PUNCT
cana-673	121	4	road	road	NOUN
cana-673	121	5	side	side	NOUN
cana-673	121	6	parking	parking	NOUN
cana-673	121	7	at	at	ADP
cana-673	121	8	night	night	NOUN
cana-673	121	9	and	and	CCONJ
cana-673	121	10	parking	parking	NOUN
cana-673	121	11	lot	lot	NOUN
cana-673	121	12	.	.	PUNCT
cana-673	122	1	(	(	PUNCT
cana-673	122	2	a	a	X
cana-673	122	3	)	)	PUNCT
cana-673	122	4	non	non	ADJ
cana-673	122	5	-	-	ADJ
cana-673	122	6	significant	significant	ADJ
cana-673	122	7	crosswalk	crosswalk	NOUN
cana-673	122	8	(	(	PUNCT
cana-673	122	9	b	b	NOUN
cana-673	122	10	)	)	PUNCT
cana-673	122	11	highway	highway	NOUN
cana-673	122	12	under	under	ADP
cana-673	122	13	over	over	ADP
cana-673	122	14	pass	pass	NOUN
cana-673	122	15	communications	communication	NOUN
cana-673	122	16	on	on	ADP
cana-673	122	17	applied	apply	VERB
cana-673	122	18	nonlinear	nonlinear	ADJ
cana-673	122	19	analysis	analysis	NOUN
cana-673	122	20	issn	issn	NOUN
cana-673	122	21	:	:	PUNCT
cana-673	122	22	1074	1074	NUM
cana-673	122	23	-	-	PUNCT
cana-673	122	24	133x	133x	NUM
cana-673	122	25	vol	vol	NOUN
cana-673	122	26	31	31	NUM
cana-673	122	27	no	no	NOUN
cana-673	122	28	.	.	PUNCT
cana-673	123	1	2s	2s	NUM
cana-673	123	2	(	(	PUNCT
cana-673	123	3	2024	2024	NUM
cana-673	123	4	)	)	PUNCT
cana-673	123	5	598	598	NUM
cana-673	123	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-673	123	7	(	(	PUNCT
cana-673	123	8	c	c	NOUN
cana-673	123	9	)	)	PUNCT
cana-673	123	10	non	non	ADJ
cana-673	123	11	-	-	ADJ
cana-673	123	12	significant	significant	ADJ
cana-673	123	13	over	over	ADP
cana-673	123	14	pass	pass	NOUN
cana-673	123	15	(	(	PUNCT
cana-673	123	16	d	d	NOUN
cana-673	123	17	)	)	PUNCT
cana-673	123	18	parking	parking	NOUN
cana-673	123	19	at	at	ADP
cana-673	123	20	night	night	NOUN
cana-673	123	21	figure	figure	NOUN
cana-673	123	22	3	3	NUM
cana-673	123	23	–	–	PUNCT
cana-673	123	24	images	image	NOUN
cana-673	123	25	with	with	ADP
cana-673	123	26	non	non	ADJ
cana-673	123	27	-	-	ADJ
cana-673	123	28	significant	significant	ADJ
cana-673	123	29	features	feature	NOUN
cana-673	123	30	.	.	PUNCT
cana-673	124	1	(	(	PUNCT
cana-673	124	2	a	a	X
cana-673	124	3	)	)	PUNCT
cana-673	124	4	crosswalk	crosswalk	NOUN
cana-673	124	5	not	not	PART
cana-673	124	6	seen	see	VERB
cana-673	124	7	clearly	clearly	ADV
cana-673	124	8	(	(	PUNCT
cana-673	124	9	b	b	X
cana-673	124	10	)	)	PUNCT
cana-673	124	11	highway	highway	NOUN
cana-673	124	12	passing	pass	VERB
cana-673	124	13	under	under	ADP
cana-673	124	14	an	an	DET
cana-673	124	15	over	over	NOUN
cana-673	124	16	pass	pass	NOUN
cana-673	124	17	(	(	PUNCT
cana-673	124	18	c	c	NOUN
cana-673	124	19	)	)	PUNCT
cana-673	125	1	an	an	DET
cana-673	125	2	over	over	ADP
cana-673	125	3	pass	pass	NOUN
cana-673	125	4	identified	identify	VERB
cana-673	125	5	by	by	ADP
cana-673	125	6	side	side	NOUN
cana-673	125	7	pillars	pillar	NOUN
cana-673	125	8	(	(	PUNCT
cana-673	125	9	d	d	NOUN
cana-673	125	10	)	)	PUNCT
cana-673	125	11	unidentified	unidentified	ADJ
cana-673	125	12	road	road	NOUN
cana-673	125	13	side	side	NOUN
cana-673	125	14	parking	parking	NOUN
cana-673	125	15	on	on	ADP
cana-673	125	16	right	right	ADJ
cana-673	125	17	side	side	NOUN
cana-673	125	18	the	the	DET
cana-673	125	19	proposed	propose	VERB
cana-673	125	20	scene	scene	NOUN
cana-673	125	21	classification	classification	NOUN
cana-673	125	22	system	system	NOUN
cana-673	125	23	comprises	comprise	NOUN
cana-673	125	24	of	of	ADP
cana-673	125	25	three	three	NUM
cana-673	125	26	distinct	distinct	ADJ
cana-673	125	27	modules	module	NOUN
cana-673	125	28	:	:	PUNCT
cana-673	125	29	the	the	DET
cana-673	125	30	local	local	ADJ
cana-673	125	31	feature	feature	NOUN
cana-673	125	32	extraction	extraction	NOUN
cana-673	125	33	module	module	NOUN
cana-673	125	34	,	,	PUNCT
cana-673	125	35	the	the	DET
cana-673	125	36	global	global	ADJ
cana-673	125	37	feature	feature	NOUN
cana-673	125	38	extraction	extraction	NOUN
cana-673	125	39	module	module	NOUN
cana-673	125	40	and	and	CCONJ
cana-673	125	41	the	the	DET
cana-673	125	42	handcrafted	handcraft	VERB
cana-673	125	43	feature	feature	NOUN
cana-673	125	44	extraction	extraction	NOUN
cana-673	125	45	module	module	NOUN
cana-673	125	46	for	for	ADP
cana-673	125	47	fine	fine	ADJ
cana-673	125	48	and	and	CCONJ
cana-673	125	49	coarse	coarse	ADJ
cana-673	125	50	features	feature	NOUN
cana-673	125	51	.	.	PUNCT
cana-673	126	1	the	the	DET
cana-673	126	2	framework	framework	NOUN
cana-673	126	3	for	for	ADP
cana-673	126	4	scene	scene	NOUN
cana-673	126	5	classification	classification	NOUN
cana-673	126	6	system	system	NOUN
cana-673	126	7	is	be	AUX
cana-673	126	8	shown	show	VERB
cana-673	126	9	in	in	ADP
cana-673	126	10	figure	figure	NOUN
cana-673	126	11	5	5	NUM
cana-673	126	12	.	.	PUNCT
cana-673	127	1	the	the	DET
cana-673	127	2	local	local	ADJ
cana-673	127	3	feature	feature	NOUN
cana-673	127	4	extraction	extraction	NOUN
cana-673	127	5	module	module	NOUN
cana-673	127	6	is	be	AUX
cana-673	127	7	aimed	aim	VERB
cana-673	127	8	to	to	PART
cana-673	127	9	detect	detect	VERB
cana-673	127	10	significant	significant	ADJ
cana-673	127	11	objects	object	NOUN
cana-673	127	12	in	in	ADP
cana-673	127	13	the	the	DET
cana-673	127	14	scene	scene	NOUN
cana-673	127	15	using	use	VERB
cana-673	127	16	the	the	DET
cana-673	127	17	yolovv5	yolovv5	PROPN
cana-673	127	18	m	m	VERB
cana-673	127	19	pre	pre	ADJ
cana-673	127	20	-	-	ADJ
cana-673	127	21	trained	trained	ADJ
cana-673	127	22	network	network	NOUN
cana-673	127	23	.	.	PUNCT
cana-673	128	1	the	the	DET
cana-673	128	2	detected	detect	VERB
cana-673	128	3	objects	object	NOUN
cana-673	128	4	are	be	AUX
cana-673	128	5	then	then	ADV
cana-673	128	6	resized	resize	VERB
cana-673	128	7	to	to	ADP
cana-673	128	8	32x32	32x32	NUM
cana-673	128	9	dimension	dimension	NOUN
cana-673	128	10	for	for	ADP
cana-673	128	11	obtaining	obtain	VERB
cana-673	128	12	similar	similar	ADJ
cana-673	128	13	size	size	NOUN
cana-673	128	14	features	feature	NOUN
cana-673	128	15	.	.	PUNCT
cana-673	129	1	the	the	DET
cana-673	129	2	objects	object	NOUN
cana-673	129	3	are	be	AUX
cana-673	129	4	fed	feed	VERB
cana-673	129	5	to	to	PART
cana-673	129	6	vgg19	vgg19	VERB
cana-673	129	7	network	network	NOUN
cana-673	129	8	for	for	ADP
cana-673	129	9	feature	feature	NOUN
cana-673	129	10	extraction	extraction	NOUN
cana-673	129	11	.	.	PUNCT
cana-673	130	1	the	the	DET
cana-673	130	2	vgg19	vgg19	PROPN
cana-673	130	3	deep	deep	ADJ
cana-673	130	4	network	network	NOUN
cana-673	130	5	is	be	AUX
cana-673	130	6	used	use	VERB
cana-673	130	7	without	without	ADP
cana-673	130	8	the	the	DET
cana-673	130	9	top	top	ADJ
cana-673	130	10	layer	layer	NOUN
cana-673	130	11	to	to	PART
cana-673	130	12	obtain	obtain	VERB
cana-673	130	13	512	512	NUM
cana-673	130	14	features	feature	NOUN
cana-673	130	15	from	from	ADP
cana-673	130	16	each	each	PRON
cana-673	130	17	of	of	ADP
cana-673	130	18	the	the	DET
cana-673	130	19	detected	detect	VERB
cana-673	130	20	object	object	NOUN
cana-673	130	21	.	.	PUNCT
cana-673	131	1	the	the	DET
cana-673	131	2	number	number	NOUN
cana-673	131	3	of	of	ADP
cana-673	131	4	objects	object	NOUN
cana-673	131	5	that	that	PRON
cana-673	131	6	can	can	AUX
cana-673	131	7	be	be	AUX
cana-673	131	8	detected	detect	VERB
cana-673	131	9	using	use	VERB
cana-673	131	10	the	the	DET
cana-673	131	11	yolov5	yolov5	PROPN
cana-673	131	12	m	m	PROPN
cana-673	131	13	network	network	NOUN
cana-673	131	14	varies	vary	VERB
cana-673	131	15	with	with	ADP
cana-673	131	16	the	the	DET
cana-673	131	17	contents	content	NOUN
cana-673	131	18	of	of	ADP
cana-673	131	19	the	the	DET
cana-673	131	20	scenes	scene	NOUN
cana-673	131	21	and	and	CCONJ
cana-673	131	22	therefore	therefore	ADV
cana-673	131	23	we	we	PRON
cana-673	131	24	added	add	VERB
cana-673	131	25	the	the	DET
cana-673	131	26	features	feature	NOUN
cana-673	131	27	extracted	extract	VERB
cana-673	131	28	from	from	ADP
cana-673	131	29	every	every	DET
cana-673	131	30	object	object	NOUN
cana-673	131	31	of	of	ADP
cana-673	131	32	the	the	DET
cana-673	131	33	scene	scene	NOUN
cana-673	131	34	image	image	NOUN
cana-673	131	35	.	.	PUNCT
cana-673	132	1	higher	high	ADJ
cana-673	132	2	the	the	DET
cana-673	132	3	objects	object	NOUN
cana-673	132	4	,	,	PUNCT
cana-673	132	5	greater	great	ADJ
cana-673	132	6	the	the	DET
cana-673	132	7	magnitude	magnitude	NOUN
cana-673	132	8	of	of	ADP
cana-673	132	9	512	512	NUM
cana-673	132	10	vector	vector	NOUN
cana-673	132	11	.	.	PUNCT
cana-673	133	1	it	it	PRON
cana-673	133	2	also	also	ADV
cana-673	133	3	helps	help	VERB
cana-673	133	4	to	to	PART
cana-673	133	5	fill	fill	VERB
cana-673	133	6	the	the	DET
cana-673	133	7	missing	miss	VERB
cana-673	133	8	values	value	NOUN
cana-673	133	9	in	in	ADP
cana-673	133	10	the	the	DET
cana-673	133	11	vector	vector	NOUN
cana-673	133	12	when	when	SCONJ
cana-673	133	13	object	object	NOUN
cana-673	133	14	features	feature	NOUN
cana-673	133	15	are	be	AUX
cana-673	133	16	added	add	VERB
cana-673	133	17	up	up	ADP
cana-673	133	18	.	.	PUNCT
cana-673	134	1	figure	figure	NOUN
cana-673	134	2	4	4	NUM
cana-673	134	3	shows	show	VERB
cana-673	134	4	the	the	DET
cana-673	134	5	objects	object	NOUN
cana-673	134	6	identified	identify	VERB
cana-673	134	7	by	by	ADP
cana-673	134	8	the	the	DET
cana-673	134	9	yolov5	yolov5	PROPN
cana-673	134	10	m	m	PROPN
cana-673	134	11	network	network	NOUN
cana-673	134	12	.	.	PUNCT
cana-673	135	1	given	give	VERB
cana-673	135	2	an	an	DET
cana-673	135	3	input	input	NOUN
cana-673	135	4	image	image	NOUN
cana-673	135	5	𝐼	𝐼	PROPN
cana-673	135	6	,	,	PUNCT
cana-673	135	7	the	the	DET
cana-673	135	8	yolov5	yolov5	PROPN
cana-673	135	9	m	m	PROPN
cana-673	135	10	network	network	NOUN
cana-673	135	11	detects	detect	NOUN
cana-673	135	12	𝑁	𝑁	PROPN
cana-673	135	13	objects	object	VERB
cana-673	135	14	and	and	CCONJ
cana-673	135	15	provides	provide	VERB
cana-673	135	16	their	their	PRON
cana-673	135	17	bounding	bounding	NOUN
cana-673	135	18	boxes	box	NOUN
cana-673	135	19	and	and	CCONJ
cana-673	135	20	class	class	NOUN
cana-673	135	21	labels	label	NOUN
cana-673	135	22	.	.	PUNCT
cana-673	136	1	each	each	DET
cana-673	136	2	detected	detect	VERB
cana-673	136	3	object	object	NOUN
cana-673	136	4	𝐼𝑚	𝐼𝑚	NOUN
cana-673	136	5	can	can	AUX
cana-673	136	6	be	be	AUX
cana-673	136	7	extracted	extract	VERB
cana-673	136	8	from	from	ADP
cana-673	136	9	the	the	DET
cana-673	136	10	image	image	NOUN
cana-673	136	11	based	base	VERB
cana-673	136	12	on	on	ADP
cana-673	136	13	its	its	PRON
cana-673	136	14	bounding	bounding	NOUN
cana-673	136	15	box	box	NOUN
cana-673	136	16	coordinates	coordinate	NOUN
cana-673	136	17	.	.	PUNCT
cana-673	137	1	detection	detection	NOUN
cana-673	137	2	process	process	NOUN
cana-673	137	3	:	:	PUNCT
cana-673	137	4	{	{	PUNCT
cana-673	137	5	(	(	PUNCT
cana-673	137	6	b1	b1	NOUN
cana-673	137	7	,	,	PUNCT
cana-673	137	8	c1	c1	PROPN
cana-673	137	9	)	)	PUNCT
cana-673	137	10	,	,	PUNCT
cana-673	137	11	(	(	PUNCT
cana-673	137	12	b2	b2	NOUN
cana-673	137	13	,	,	PUNCT
cana-673	137	14	c2	c2	PROPN
cana-673	137	15	)	)	PUNCT
cana-673	137	16	,	,	PUNCT
cana-673	137	17	…	…	PUNCT
cana-673	137	18	,	,	PUNCT
cana-673	137	19	(	(	PUNCT
cana-673	137	20	bn	bn	X
cana-673	137	21	,	,	PUNCT
cana-673	137	22	cn	cn	PROPN
cana-673	137	23	)	)	PUNCT
cana-673	137	24	}	}	PUNCT
cana-673	137	25	=	=	SYM
cana-673	137	26	yolov5m(𝐼	yolov5m(𝐼	NOUN
cana-673	137	27	)	)	PUNCT
cana-673	137	28	extracting	extract	VERB
cana-673	137	29	objects	object	NOUN
cana-673	137	30	from	from	ADP
cana-673	137	31	bounding	bounding	NOUN
cana-673	137	32	boxes	box	NOUN
cana-673	137	33	:	:	PUNCT
cana-673	137	34	𝐼𝑚	𝐼𝑚	NOUN
cana-673	137	35	=	=	PUNCT
cana-673	137	36	𝐼[𝐵𝑚	𝐼[𝐵𝑚	PROPN
cana-673	137	37	]	]	PUNCT
cana-673	137	38	constructing	construct	VERB
cana-673	137	39	the	the	DET
cana-673	137	40	local	local	ADJ
cana-673	137	41	feature	feature	NOUN
cana-673	137	42	vector	vector	NOUN
cana-673	137	43	:	:	PUNCT
cana-673	137	44	𝐹	𝐹	PROPN
cana-673	137	45	=	=	PUNCT
cana-673	137	46	∑	∑	PROPN
cana-673	137	47	𝑓𝑚	𝑓𝑚	X
cana-673	137	48	𝑁	𝑁	PROPN
cana-673	137	49	𝑚=1	𝑚=1	PUNCT
cana-673	137	50	;	;	PUNCT
cana-673	137	51	where	where	SCONJ
cana-673	137	52	f=	f=	ADJ
cana-673	137	53	“	"	PUNCT
cana-673	137	54	final	final	ADJ
cana-673	137	55	local	local	ADJ
cana-673	137	56	feature	feature	NOUN
cana-673	137	57	vector	vector	NOUN
cana-673	137	58	”	"	PUNCT
cana-673	137	59	,	,	PUNCT
cana-673	137	60	n=	n=	ADJ
cana-673	137	61	“	"	PUNCT
cana-673	137	62	no	no	INTJ
cana-673	137	63	.	.	PUNCT
cana-673	137	64	of	of	ADP
cana-673	137	65	detected	detect	VERB
cana-673	137	66	objects	object	NOUN
cana-673	137	67	”	"	PUNCT
cana-673	137	68	,	,	PUNCT
cana-673	137	69	𝑓𝑚=	𝑓𝑚=	NOUN
cana-673	137	70	“	"	PUNCT
cana-673	137	71	512	512	NUM
cana-673	137	72	-	-	PUNCT
cana-673	137	73	dimensional	dimensional	ADJ
cana-673	137	74	feature	feature	NOUN
cana-673	137	75	vector	vector	NOUN
cana-673	137	76	for	for	ADP
cana-673	137	77	the	the	DET
cana-673	137	78	mth	mth	NOUN
cana-673	137	79	detected	detect	VERB
cana-673	137	80	object	object	NOUN
cana-673	137	81	”	"	PUNCT
cana-673	137	82	.	.	PUNCT
cana-673	138	1	(	(	PUNCT
cana-673	138	2	a	a	X
cana-673	138	3	)	)	PUNCT
cana-673	138	4	original	original	ADJ
cana-673	138	5	image	image	NOUN
cana-673	138	6	from	from	ADP
cana-673	138	7	the	the	DET
cana-673	138	8	crosswalk	crosswalk	NOUN
cana-673	138	9	category	category	NOUN
cana-673	138	10	communications	communication	NOUN
cana-673	138	11	on	on	ADP
cana-673	138	12	applied	apply	VERB
cana-673	138	13	nonlinear	nonlinear	ADJ
cana-673	138	14	analysis	analysis	NOUN
cana-673	138	15	issn	issn	NOUN
cana-673	138	16	:	:	PUNCT
cana-673	138	17	1074	1074	NUM
cana-673	138	18	-	-	PUNCT
cana-673	138	19	133x	133x	NUM
cana-673	138	20	vol	vol	NOUN
cana-673	138	21	31	31	NUM
cana-673	138	22	no	no	NOUN
cana-673	138	23	.	.	PUNCT
cana-673	139	1	2s	2s	NUM
cana-673	139	2	(	(	PUNCT
cana-673	139	3	2024	2024	NUM
cana-673	139	4	)	)	PUNCT
cana-673	139	5	599	599	NUM
cana-673	139	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-673	139	7	(	(	PUNCT
cana-673	139	8	b	b	NOUN
cana-673	139	9	)	)	PUNCT
cana-673	139	10	cars	car	NOUN
cana-673	139	11	located	locate	VERB
cana-673	139	12	in	in	ADP
cana-673	139	13	the	the	DET
cana-673	139	14	image	image	NOUN
cana-673	139	15	by	by	ADP
cana-673	139	16	yolov5	yolov5	PROPN
cana-673	139	17	m	m	PROPN
cana-673	139	18	(	(	PUNCT
cana-673	139	19	c	c	NOUN
cana-673	139	20	)	)	PUNCT
cana-673	139	21	located	locate	VERB
cana-673	139	22	keyboard	keyboard	NOUN
cana-673	139	23	,	,	PUNCT
cana-673	139	24	person	person	NOUN
cana-673	139	25	and	and	CCONJ
cana-673	139	26	a	a	DET
cana-673	139	27	traffic	traffic	NOUN
cana-673	139	28	light	light	NOUN
cana-673	139	29	by	by	ADP
cana-673	139	30	yolov5	yolov5	PROPN
cana-673	139	31	m	m	NOUN
cana-673	139	32	figure	figure	NOUN
cana-673	139	33	4	4	NUM
cana-673	139	34	–	–	PUNCT
cana-673	139	35	bounding	bound	VERB
cana-673	139	36	box	box	NOUN
cana-673	139	37	results	result	NOUN
cana-673	139	38	obtained	obtain	VERB
cana-673	139	39	using	use	VERB
cana-673	139	40	the	the	DET
cana-673	139	41	yolov5	yolov5	NOUN
cana-673	139	42	m	m	NOUN
cana-673	139	43	network	network	NOUN
cana-673	139	44	the	the	DET
cana-673	139	45	following	follow	VERB
cana-673	139	46	algorithm	algorithm	NOUN
cana-673	139	47	1	1	NUM
cana-673	139	48	represents	represent	VERB
cana-673	139	49	the	the	DET
cana-673	139	50	steps	step	NOUN
cana-673	139	51	to	to	PART
cana-673	139	52	collect	collect	VERB
cana-673	139	53	the	the	DET
cana-673	139	54	features	feature	NOUN
cana-673	139	55	of	of	ADP
cana-673	139	56	objects	object	NOUN
cana-673	139	57	identified	identify	VERB
cana-673	139	58	by	by	ADP
cana-673	139	59	the	the	DET
cana-673	139	60	yolov5	yolov5	PROPN
cana-673	139	61	m	m	PROPN
cana-673	139	62	network	network	NOUN
cana-673	139	63	.	.	PUNCT
cana-673	140	1	the	the	DET
cana-673	140	2	value	value	NOUN
cana-673	140	3	of	of	ADP
cana-673	140	4	‘	'	PUNCT
cana-673	140	5	n	n	CCONJ
cana-673	140	6	’	'	PUNCT
cana-673	140	7	in	in	ADP
cana-673	140	8	the	the	DET
cana-673	140	9	algorithm	algorithm	NOUN
cana-673	140	10	will	will	AUX
cana-673	140	11	vary	vary	VERB
cana-673	140	12	for	for	ADP
cana-673	140	13	each	each	DET
cana-673	140	14	image	image	NOUN
cana-673	140	15	since	since	SCONJ
cana-673	140	16	the	the	DET
cana-673	140	17	number	number	NOUN
cana-673	140	18	of	of	ADP
cana-673	140	19	detected	detect	VERB
cana-673	140	20	objects	object	NOUN
cana-673	140	21	depends	depend	VERB
cana-673	140	22	on	on	ADP
cana-673	140	23	the	the	DET
cana-673	140	24	scene	scene	NOUN
cana-673	140	25	image	image	NOUN
cana-673	140	26	and	and	CCONJ
cana-673	140	27	the	the	DET
cana-673	140	28	ability	ability	NOUN
cana-673	140	29	of	of	ADP
cana-673	140	30	yolov5	yolov5	NOUN
cana-673	140	31	m	m	PROPN
cana-673	140	32	network	network	NOUN
cana-673	140	33	.	.	PUNCT
cana-673	141	1	algorithm	algorithm	NOUN
cana-673	141	2	1	1	NUM
cana-673	141	3	:	:	PUNCT
cana-673	141	4	object	object	NOUN
cana-673	141	5	based	base	VERB
cana-673	141	6	feature	feature	NOUN
cana-673	141	7	extraction	extraction	NOUN
cana-673	141	8	input	input	NOUN
cana-673	141	9	–	–	PUNCT
cana-673	141	10	object	object	NOUN
cana-673	141	11	images	image	NOUN
cana-673	141	12	identified	identify	VERB
cana-673	141	13	by	by	ADP
cana-673	141	14	yolov5	yolov5	PROPN
cana-673	141	15	m	m	PROPN
cana-673	141	16	network	network	NOUN
cana-673	141	17	output	output	NOUN
cana-673	141	18	–	–	PUNCT
cana-673	141	19	feature	feature	NOUN
cana-673	141	20	vector	vector	NOUN
cana-673	141	21	of	of	ADP
cana-673	141	22	all	all	DET
cana-673	141	23	objects	object	NOUN
cana-673	141	24	n	n	PRON
cana-673	141	25	–	–	PUNCT
cana-673	141	26	number	number	NOUN
cana-673	141	27	of	of	ADP
cana-673	141	28	identified	identify	VERB
cana-673	141	29	objects	object	NOUN
cana-673	141	30	using	use	VERB
cana-673	141	31	yolov5	yolov5	NOUN
cana-673	141	32	m	m	PROPN
cana-673	141	33	f	f	NOUN
cana-673	141	34	=	=	SYM
cana-673	141	35	(	(	PUNCT
cana-673	141	36	512	512	NUM
cana-673	141	37	,	,	PUNCT
cana-673	141	38	)	)	PUNCT
cana-673	141	39	zero	zero	NUM
cana-673	141	40	vector	vector	NOUN
cana-673	141	41	;	;	PUNCT
cana-673	141	42	array	array	NOUN
cana-673	141	43	to	to	PART
cana-673	141	44	store	store	VERB
cana-673	141	45	the	the	DET
cana-673	141	46	feature	feature	NOUN
cana-673	141	47	vector	vector	NOUN
cana-673	141	48	for	for	ADP
cana-673	141	49	m	m	NOUN
cana-673	141	50	=	=	SYM
cana-673	141	51	1	1	NUM
cana-673	141	52	to	to	PART
cana-673	141	53	n	n	PART
cana-673	141	54	resize	resize	VERB
cana-673	141	55	the	the	DET
cana-673	141	56	object	object	NOUN
cana-673	141	57	image	image	NOUN
cana-673	141	58	;	;	PUNCT
cana-673	141	59	32x32	32x32	NUM
cana-673	141	60	calculate	calculate	NOUN
cana-673	141	61	features	feature	NOUN
cana-673	141	62	(	(	PUNCT
cana-673	141	63	512	512	NUM
cana-673	141	64	,	,	PUNCT
cana-673	141	65	)	)	PUNCT
cana-673	141	66	vector	vector	NOUN
cana-673	141	67	using	use	VERB
cana-673	141	68	the	the	DET
cana-673	141	69	vgg19	vgg19	NOUN
cana-673	141	70	network	network	NOUN
cana-673	141	71	add	add	VERB
cana-673	141	72	the	the	DET
cana-673	141	73	features	feature	NOUN
cana-673	141	74	to	to	ADP
cana-673	141	75	f	f	PROPN
cana-673	141	76	end	end	VERB
cana-673	141	77	the	the	DET
cana-673	141	78	global	global	ADJ
cana-673	141	79	feature	feature	NOUN
cana-673	141	80	extraction	extraction	NOUN
cana-673	141	81	module	module	NOUN
cana-673	141	82	uses	use	VERB
cana-673	141	83	vgg19	vgg19	PROPN
cana-673	141	84	network	network	NOUN
cana-673	141	85	without	without	ADP
cana-673	141	86	the	the	DET
cana-673	141	87	top	top	ADJ
cana-673	141	88	layer	layer	NOUN
cana-673	141	89	directly	directly	ADV
cana-673	141	90	on	on	ADP
cana-673	141	91	the	the	DET
cana-673	141	92	input	input	NOUN
cana-673	141	93	image	image	NOUN
cana-673	141	94	resized	resize	VERB
cana-673	141	95	to	to	ADP
cana-673	141	96	256x256	256x256	PROPN
cana-673	141	97	.	.	PUNCT
cana-673	142	1	the	the	DET
cana-673	142	2	number	number	NOUN
cana-673	142	3	of	of	ADP
cana-673	142	4	feature	feature	NOUN
cana-673	142	5	extracted	extract	VERB
cana-673	142	6	using	use	VERB
cana-673	142	7	the	the	DET
cana-673	142	8	vgg19	vgg19	NOUN
cana-673	142	9	network	network	NOUN
cana-673	142	10	are	be	AUX
cana-673	142	11	512	512	NUM
cana-673	142	12	.	.	PUNCT
cana-673	143	1	the	the	DET
cana-673	143	2	blind	blind	ADJ
cana-673	143	3	features	feature	NOUN
cana-673	143	4	thus	thus	ADV
cana-673	143	5	extracted	extract	VERB
cana-673	143	6	depends	depend	VERB
cana-673	143	7	on	on	ADP
cana-673	143	8	the	the	DET
cana-673	143	9	scene	scene	NOUN
cana-673	143	10	information	information	NOUN
cana-673	143	11	and	and	CCONJ
cana-673	143	12	ability	ability	NOUN
cana-673	143	13	of	of	ADP
cana-673	143	14	the	the	DET
cana-673	143	15	network	network	NOUN
cana-673	143	16	.	.	PUNCT
cana-673	144	1	this	this	PRON
cana-673	144	2	is	be	AUX
cana-673	144	3	to	to	PART
cana-673	144	4	ensure	ensure	VERB
cana-673	144	5	that	that	SCONJ
cana-673	144	6	region	region	NOUN
cana-673	144	7	not	not	PART
cana-673	144	8	belonging	belong	VERB
cana-673	144	9	to	to	ADP
cana-673	144	10	the	the	DET
cana-673	144	11	objects	object	NOUN
cana-673	144	12	detected	detect	VERB
cana-673	144	13	using	use	VERB
cana-673	144	14	the	the	DET
cana-673	144	15	local	local	ADJ
cana-673	144	16	feature	feature	NOUN
cana-673	144	17	extraction	extraction	NOUN
cana-673	144	18	module	module	NOUN
cana-673	144	19	contributes	contribute	VERB
cana-673	144	20	to	to	ADP
cana-673	144	21	the	the	DET
cana-673	144	22	feature	feature	NOUN
cana-673	144	23	set	set	VERB
cana-673	144	24	.	.	PUNCT
cana-673	145	1	the	the	DET
cana-673	145	2	only	only	ADJ
cana-673	145	3	problems	problem	NOUN
cana-673	145	4	with	with	ADP
cana-673	145	5	such	such	ADJ
cana-673	145	6	features	feature	NOUN
cana-673	145	7	are	be	AUX
cana-673	145	8	too	too	ADV
cana-673	145	9	many	many	ADJ
cana-673	145	10	missing	missing	ADJ
cana-673	145	11	values	value	NOUN
cana-673	145	12	which	which	PRON
cana-673	145	13	depends	depend	VERB
cana-673	145	14	on	on	ADP
cana-673	145	15	the	the	DET
cana-673	145	16	quality	quality	NOUN
cana-673	145	17	of	of	ADP
cana-673	145	18	the	the	DET
cana-673	145	19	image	image	NOUN
cana-673	145	20	.	.	PUNCT
cana-673	146	1	even	even	ADV
cana-673	146	2	though	though	SCONJ
cana-673	146	3	the	the	DET
cana-673	146	4	local	local	ADJ
cana-673	146	5	features	feature	NOUN
cana-673	146	6	are	be	AUX
cana-673	146	7	considered	consider	VERB
cana-673	146	8	using	use	VERB
cana-673	146	9	the	the	DET
cana-673	146	10	two	two	NUM
cana-673	146	11	stage	stage	NOUN
cana-673	146	12	deep	deep	ADJ
cana-673	146	13	network	network	NOUN
cana-673	146	14	framework	framework	NOUN
cana-673	146	15	using	use	VERB
cana-673	146	16	the	the	DET
cana-673	146	17	yolov5	yolov5	NOUN
cana-673	146	18	and	and	CCONJ
cana-673	146	19	the	the	DET
cana-673	146	20	vgg19	vgg19	PROPN
cana-673	146	21	networks	network	NOUN
cana-673	146	22	,	,	PUNCT
cana-673	146	23	the	the	DET
cana-673	146	24	resizing	resizing	NOUN
cana-673	146	25	stage	stage	NOUN
cana-673	146	26	for	for	ADP
cana-673	146	27	the	the	DET
cana-673	146	28	detected	detect	VERB
cana-673	146	29	objects	object	NOUN
cana-673	146	30	may	may	AUX
cana-673	146	31	suffers	suffer	VERB
cana-673	146	32	from	from	ADP
cana-673	146	33	information	information	NOUN
cana-673	146	34	loss	loss	NOUN
cana-673	146	35	.	.	PUNCT
cana-673	147	1	a	a	DET
cana-673	147	2	size	size	NOUN
cana-673	147	3	of	of	ADP
cana-673	147	4	32x32	32x32	NUM
cana-673	147	5	is	be	AUX
cana-673	147	6	considered	consider	VERB
cana-673	147	7	to	to	PART
cana-673	147	8	uplift	uplift	VERB
cana-673	147	9	the	the	DET
cana-673	147	10	fine	fine	ADJ
cana-673	147	11	features	feature	NOUN
cana-673	147	12	with	with	ADP
cana-673	147	13	respect	respect	NOUN
cana-673	147	14	to	to	ADP
cana-673	147	15	small	small	ADJ
cana-673	147	16	objects	object	NOUN
cana-673	147	17	but	but	CCONJ
cana-673	147	18	objects	object	VERB
cana-673	147	19	greater	great	ADJ
cana-673	147	20	than	than	ADP
cana-673	147	21	32x32	32x32	NUM
cana-673	147	22	would	would	AUX
cana-673	147	23	suffer	suffer	VERB
cana-673	147	24	data	datum	NOUN
cana-673	147	25	loss	loss	NOUN
cana-673	147	26	.	.	PUNCT
cana-673	148	1	therefore	therefore	ADV
cana-673	148	2	,	,	PUNCT
cana-673	148	3	we	we	PRON
cana-673	148	4	added	add	VERB
cana-673	148	5	fine	fine	ADJ
cana-673	148	6	and	and	CCONJ
cana-673	148	7	coarse	coarse	ADJ
cana-673	148	8	features	feature	NOUN
cana-673	148	9	to	to	ADP
cana-673	148	10	the	the	DET
cana-673	148	11	local	local	ADJ
cana-673	148	12	and	and	CCONJ
cana-673	148	13	global	global	ADJ
cana-673	148	14	features	feature	NOUN
cana-673	148	15	to	to	PART
cana-673	148	16	improve	improve	VERB
cana-673	148	17	the	the	DET
cana-673	148	18	classification	classification	NOUN
cana-673	148	19	accuracy	accuracy	NOUN
cana-673	148	20	.	.	PUNCT
cana-673	149	1	a	a	DET
cana-673	149	2	total	total	NOUN
cana-673	149	3	of	of	ADP
cana-673	149	4	2310	2310	NUM
cana-673	149	5	handcrafted	handcraft	VERB
cana-673	149	6	features	feature	NOUN
cana-673	149	7	are	be	AUX
cana-673	149	8	extracted	extract	VERB
cana-673	149	9	using	use	VERB
cana-673	149	10	various	various	ADJ
cana-673	149	11	feature	feature	NOUN
cana-673	149	12	descriptors	descriptor	NOUN
cana-673	149	13	which	which	PRON
cana-673	149	14	includes	include	VERB
cana-673	149	15	wavelet	wavelet	NOUN
cana-673	149	16	based	base	VERB
cana-673	149	17	,	,	PUNCT
cana-673	149	18	matched	match	VERB
cana-673	149	19	filter	filter	NOUN
cana-673	149	20	based	base	VERB
cana-673	149	21	,	,	PUNCT
cana-673	149	22	local	local	ADJ
cana-673	149	23	binary	binary	ADJ
cana-673	149	24	pattern	pattern	NOUN
cana-673	149	25	(	(	PUNCT
cana-673	149	26	lbp	lbp	NOUN
cana-673	149	27	)	)	PUNCT
cana-673	149	28	based	base	VERB
cana-673	149	29	texture	texture	NOUN
cana-673	149	30	,	,	PUNCT
cana-673	149	31	gray	gray	ADJ
cana-673	149	32	level	level	NOUN
cana-673	149	33	co	co	NOUN
cana-673	149	34	-	-	NOUN
cana-673	149	35	occurrence	occurrence	ADJ
cana-673	149	36	matrix	matrix	NOUN
cana-673	149	37	communications	communication	NOUN
cana-673	149	38	on	on	ADP
cana-673	149	39	applied	apply	VERB
cana-673	149	40	nonlinear	nonlinear	ADJ
cana-673	149	41	analysis	analysis	NOUN
cana-673	149	42	issn	issn	NOUN
cana-673	149	43	:	:	PUNCT
cana-673	149	44	1074	1074	NUM
cana-673	149	45	-	-	PUNCT
cana-673	149	46	133x	133x	NUM
cana-673	149	47	vol	vol	NOUN
cana-673	149	48	31	31	NUM
cana-673	149	49	no	no	NOUN
cana-673	149	50	.	.	PUNCT
cana-673	150	1	2s	2s	NUM
cana-673	150	2	(	(	PUNCT
cana-673	150	3	2024	2024	NUM
cana-673	150	4	)	)	PUNCT
cana-673	150	5	600	600	NUM
cana-673	150	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-673	150	7	(	(	PUNCT
cana-673	150	8	glcm	glcm	PROPN
cana-673	150	9	)	)	PUNCT
cana-673	150	10	based	base	VERB
cana-673	150	11	,	,	PUNCT
cana-673	150	12	and	and	CCONJ
cana-673	150	13	the	the	DET
cana-673	150	14	histogram	histogram	NOUN
cana-673	150	15	of	of	ADP
cana-673	150	16	gaussian	gaussian	NOUN
cana-673	150	17	(	(	PUNCT
cana-673	150	18	hog	hog	NOUN
cana-673	150	19	)	)	PUNCT
cana-673	150	20	features	feature	NOUN
cana-673	150	21	.	.	PUNCT
cana-673	151	1	use	use	VERB
cana-673	151	2	yolov5	yolov5	NOUN
cana-673	151	3	to	to	PART
cana-673	151	4	detect	detect	VERB
cana-673	151	5	objects	object	NOUN
cana-673	151	6	in	in	ADP
cana-673	151	7	the	the	DET
cana-673	151	8	image	image	NOUN
cana-673	151	9	and	and	CCONJ
cana-673	151	10	extract	extract	VERB
cana-673	151	11	features	feature	NOUN
cana-673	151	12	using	use	VERB
cana-673	151	13	vgg19	vgg19	PRON
cana-673	151	14	for	for	ADP
cana-673	151	15	each	each	DET
cana-673	151	16	detected	detect	VERB
cana-673	151	17	object	object	NOUN
cana-673	151	18	.	.	PUNCT
cana-673	152	1	𝐹𝑙𝑜𝑐𝑎𝑙	𝐹𝑙𝑜𝑐𝑎𝑙	PROPN
cana-673	152	2	=	=	SYM
cana-673	152	3	∑	∑	PUNCT
cana-673	152	4	𝑉𝐺𝐺19(𝑅𝑒𝑠𝑖𝑧𝑒(𝑌𝑂𝐿𝑂𝑉5(𝐼𝑖	𝑉𝐺𝐺19(𝑅𝑒𝑠𝑖𝑧𝑒(𝑌𝑂𝐿𝑂𝑉5(𝐼𝑖	NOUN
cana-673	152	5	)	)	PUNCT
cana-673	152	6	,	,	PUNCT
cana-673	152	7	32	32	NUM
cana-673	152	8	×	×	NOUN
cana-673	152	9	32	32	NUM
cana-673	152	10	)	)	PUNCT
cana-673	152	11	)	)	PUNCT
cana-673	153	1	𝑁	𝑁	PROPN
cana-673	153	2	𝑖=1	𝑖=1	PROPN
cana-673	153	3	use	use	VERB
cana-673	153	4	vgg19	vgg19	NOUN
cana-673	153	5	to	to	PART
cana-673	153	6	extract	extract	VERB
cana-673	153	7	features	feature	NOUN
cana-673	153	8	from	from	ADP
cana-673	153	9	the	the	DET
cana-673	153	10	entire	entire	ADJ
cana-673	153	11	resized	resize	VERB
cana-673	153	12	image	image	NOUN
cana-673	153	13	𝐹𝑔𝑙𝑜𝑏𝑎𝑙	𝐹𝑔𝑙𝑜𝑏𝑎𝑙	PROPN
cana-673	153	14	=	=	SYM
cana-673	153	15	𝑉𝐺𝐺19(𝑅𝑒𝑠𝑖𝑧𝑒(𝐼	𝑉𝐺𝐺19(𝑅𝑒𝑠𝑖𝑧𝑒(𝐼	NOUN
cana-673	153	16	,	,	PUNCT
cana-673	153	17	256	256	NUM
cana-673	153	18	×	×	NOUN
cana-673	153	19	256	256	NUM
cana-673	153	20	)	)	PUNCT
cana-673	153	21	)	)	PUNCT
cana-673	154	1	the	the	DET
cana-673	154	2	following	follow	VERB
cana-673	154	3	traditional	traditional	ADJ
cana-673	154	4	features	feature	NOUN
cana-673	154	5	depicted	depict	VERB
cana-673	154	6	in	in	ADP
cana-673	154	7	table	table	NOUN
cana-673	154	8	ii	ii	NOUN
cana-673	154	9	are	be	AUX
cana-673	154	10	extracted	extract	VERB
cana-673	154	11	using	use	VERB
cana-673	154	12	128x128	128x128	NUM
cana-673	154	13	gray	gray	ADJ
cana-673	154	14	scale	scale	NOUN
cana-673	154	15	scene	scene	NOUN
cana-673	154	16	image	image	NOUN
cana-673	154	17	.	.	PUNCT
cana-673	155	1	figure	figure	NOUN
cana-673	155	2	5	5	NUM
cana-673	155	3	–	–	PUNCT
cana-673	155	4	the	the	DET
cana-673	155	5	framework	framework	NOUN
cana-673	155	6	for	for	ADP
cana-673	155	7	the	the	DET
cana-673	155	8	scene	scene	NOUN
cana-673	155	9	classification	classification	NOUN
cana-673	155	10	system	system	NOUN
cana-673	155	11	table	table	NOUN
cana-673	155	12	ii	ii	PROPN
cana-673	155	13	–	–	PUNCT
cana-673	155	14	fine	fine	ADJ
cana-673	155	15	and	and	CCONJ
cana-673	155	16	coarse	coarse	ADJ
cana-673	155	17	handcrafted	handcraft	VERB
cana-673	155	18	features	feature	NOUN
cana-673	155	19	with	with	ADP
cana-673	155	20	count	count	NOUN
cana-673	155	21	name	name	NOUN
cana-673	155	22	of	of	ADP
cana-673	155	23	the	the	DET
cana-673	155	24	feature	feature	NOUN
cana-673	155	25	type	type	NOUN
cana-673	155	26	of	of	ADP
cana-673	155	27	feature	feature	NOUN
cana-673	155	28	number	number	NOUN
cana-673	155	29	of	of	ADP
cana-673	155	30	features	feature	NOUN
cana-673	155	31	extracted	extract	VERB
cana-673	155	32	matched	match	VERB
cana-673	155	33	filter	filter	NOUN
cana-673	155	34	–	–	PUNCT
cana-673	155	35	edge	edge	NOUN
cana-673	155	36	kernel	kernel	NOUN
cana-673	155	37	-	-	PUNCT
cana-673	155	38	based	base	VERB
cana-673	155	39	fine	fine	ADJ
cana-673	155	40	256	256	NUM
cana-673	155	41	matched	match	VERB
cana-673	155	42	filter	filter	NOUN
cana-673	155	43	–	–	PUNCT
cana-673	155	44	orientation	orientation	NOUN
cana-673	155	45	based	base	VERB
cana-673	155	46	coarse	coarse	ADV
cana-673	155	47	32	32	NUM
cana-673	155	48	wavelet	wavelet	NOUN
cana-673	155	49	–	–	PUNCT
cana-673	155	50	six	six	NUM
cana-673	155	51	wavelets	wavelet	NOUN
cana-673	155	52	[	[	X
cana-673	155	53	'	'	PUNCT
cana-673	155	54	bior3.1	bior3.1	ADJ
cana-673	155	55	'	'	PUNCT
cana-673	155	56	,	,	PUNCT
cana-673	155	57	'	'	PUNCT
cana-673	155	58	bior3.5	bior3.5	X
cana-673	155	59	'	'	PUNCT
cana-673	155	60	,	,	PUNCT
cana-673	155	61	'	'	PUNCT
cana-673	155	62	bior3.7	bior3.7	NOUN
cana-673	155	63	'	'	PUNCT
cana-673	155	64	,	,	PUNCT
cana-673	155	65	'	'	PUNCT
cana-673	155	66	db3	db3	PROPN
cana-673	155	67	'	'	PUNCT
cana-673	155	68	,	,	PUNCT
cana-673	155	69	'	'	PUNCT
cana-673	155	70	sym3	sym3	PROPN
cana-673	155	71	'	'	PUNCT
cana-673	155	72	,	,	PUNCT
cana-673	155	73	'	'	PUNCT
cana-673	155	74	haar	haar	X
cana-673	155	75	'	'	PUNCT
cana-673	155	76	]	]	PUNCT
cana-673	155	77	coarse	coarse	ADJ
cana-673	155	78	24	24	NUM
cana-673	155	79	wavelet	wavelet	NOUN
cana-673	155	80	haar	haar	PROPN
cana-673	155	81	fine	fine	ADJ
cana-673	155	82	1024	1024	NUM
cana-673	155	83	glcm	glcm	NOUN
cana-673	155	84	–	–	PUNCT
cana-673	155	85	[	[	X
cana-673	155	86	contrast	contrast	NOUN
cana-673	155	87	,	,	PUNCT
cana-673	155	88	energy	energy	NOUN
cana-673	155	89	,	,	PUNCT
cana-673	155	90	homogeneity	homogeneity	NOUN
cana-673	155	91	,	,	PUNCT
cana-673	155	92	correlation	correlation	NOUN
cana-673	155	93	,	,	PUNCT
cana-673	155	94	asm	asm	NOUN
cana-673	155	95	and	and	CCONJ
cana-673	155	96	dissimilarity	dissimilarity	NOUN
cana-673	155	97	]	]	PUNCT
cana-673	155	98	coarse	coarse	NOUN
cana-673	155	99	6	6	NUM
cana-673	155	100	lbp	lbp	NOUN
cana-673	155	101	fine	fine	ADJ
cana-673	155	102	256	256	NUM
cana-673	155	103	lbp	lbp	NOUN
cana-673	155	104	–	–	PUNCT
cana-673	155	105	texture	texture	NOUN
cana-673	155	106	(	(	PUNCT
cana-673	155	107	averaging	average	VERB
cana-673	155	108	5x5	5x5	NUM
cana-673	155	109	block	block	NOUN
cana-673	155	110	)	)	PUNCT
cana-673	155	111	fine	fine	ADJ
cana-673	155	112	676	676	NUM
cana-673	155	113	hog	hog	NOUN
cana-673	155	114	coarse	coarse	NOUN
cana-673	155	115	36	36	NUM
cana-673	155	116	total	total	ADJ
cana-673	155	117	feature	feature	NOUN
cana-673	155	118	length	length	NOUN
cana-673	155	119	2310	2310	NUM
cana-673	155	120	detailed	detailed	ADJ
cana-673	155	121	statistical	statistical	ADJ
cana-673	155	122	descriptions	description	NOUN
cana-673	155	123	of	of	ADP
cana-673	155	124	the	the	DET
cana-673	155	125	handcrafted	handcrafted	ADJ
cana-673	155	126	features	feature	NOUN
cana-673	155	127	using	use	VERB
cana-673	155	128	matched	match	VERB
cana-673	155	129	filter	filter	NOUN
cana-673	155	130	,	,	PUNCT
cana-673	155	131	wavelet	wavelet	NOUN
cana-673	155	132	,	,	PUNCT
cana-673	155	133	and	and	CCONJ
cana-673	155	134	lbp	lbp	PROPN
cana-673	155	135	texture	texture	NOUN
cana-673	155	136	features	feature	NOUN
cana-673	155	137	can	can	AUX
cana-673	155	138	be	be	AUX
cana-673	155	139	found	find	VERB
cana-673	155	140	in	in	ADP
cana-673	155	141	[	[	X
cana-673	155	142	39	39	NUM
cana-673	155	143	]	]	PUNCT
cana-673	155	144	.	.	PUNCT
cana-673	156	1	these	these	DET
cana-673	156	2	features	feature	NOUN
cana-673	156	3	strengthen	strengthen	VERB
cana-673	156	4	the	the	DET
cana-673	156	5	ability	ability	NOUN
cana-673	156	6	of	of	ADP
cana-673	156	7	blind	blind	ADJ
cana-673	156	8	features	feature	NOUN
cana-673	156	9	extracted	extract	VERB
cana-673	156	10	using	use	VERB
cana-673	156	11	the	the	DET
cana-673	156	12	cnn	cnn	PROPN
cana-673	156	13	-	-	PUNCT
cana-673	156	14	based	base	VERB
cana-673	156	15	vgg19	vgg19	NOUN
cana-673	156	16	network	network	NOUN
cana-673	156	17	to	to	PART
cana-673	156	18	improve	improve	VERB
cana-673	156	19	the	the	DET
cana-673	156	20	disparities	disparity	NOUN
cana-673	156	21	of	of	ADP
cana-673	156	22	classes	class	NOUN
cana-673	156	23	and	and	CCONJ
cana-673	156	24	assist	assist	VERB
cana-673	156	25	the	the	DET
cana-673	156	26	classifier	classifier	NOUN
cana-673	156	27	.	.	PUNCT
cana-673	157	1	communications	communication	NOUN
cana-673	157	2	on	on	ADP
cana-673	157	3	applied	apply	VERB
cana-673	157	4	nonlinear	nonlinear	ADJ
cana-673	157	5	analysis	analysis	NOUN
cana-673	157	6	issn	issn	NOUN
cana-673	157	7	:	:	PUNCT
cana-673	157	8	1074	1074	NUM
cana-673	157	9	-	-	PUNCT
cana-673	157	10	133x	133x	NUM
cana-673	157	11	vol	vol	NOUN
cana-673	157	12	31	31	NUM
cana-673	157	13	no	no	NOUN
cana-673	157	14	.	.	PUNCT
cana-673	158	1	2s	2s	NUM
cana-673	158	2	(	(	PUNCT
cana-673	158	3	2024	2024	NUM
cana-673	158	4	)	)	PUNCT
cana-673	158	5	601	601	NUM
cana-673	158	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-673	158	7	the	the	DET
cana-673	158	8	object	object	NOUN
cana-673	158	9	-	-	PUNCT
cana-673	158	10	based	base	VERB
cana-673	158	11	local	local	ADJ
cana-673	158	12	features	feature	NOUN
cana-673	158	13	,	,	PUNCT
cana-673	158	14	the	the	DET
cana-673	158	15	global	global	ADJ
cana-673	158	16	features	feature	NOUN
cana-673	158	17	,	,	PUNCT
cana-673	158	18	and	and	CCONJ
cana-673	158	19	the	the	DET
cana-673	158	20	handcrafted	handcraft	VERB
cana-673	158	21	features	feature	NOUN
cana-673	158	22	are	be	AUX
cana-673	158	23	concatenated	concatenate	VERB
cana-673	158	24	for	for	ADP
cana-673	158	25	classification	classification	NOUN
cana-673	158	26	.	.	PUNCT
cana-673	159	1	the	the	DET
cana-673	159	2	features	feature	NOUN
cana-673	159	3	were	be	AUX
cana-673	159	4	normalized	normalize	VERB
cana-673	159	5	using	use	VERB
cana-673	159	6	the	the	DET
cana-673	159	7	max	max	PROPN
cana-673	159	8	-	-	PUNCT
cana-673	159	9	normalization	normalization	NOUN
cana-673	159	10	.	.	PUNCT
cana-673	160	1	the	the	DET
cana-673	160	2	samples	sample	NOUN
cana-673	160	3	were	be	AUX
cana-673	160	4	arranged	arrange	VERB
cana-673	160	5	in	in	ADP
cana-673	160	6	rows	row	NOUN
cana-673	160	7	and	and	CCONJ
cana-673	160	8	maximum	maximum	ADJ
cana-673	160	9	values	value	NOUN
cana-673	160	10	across	across	ADP
cana-673	160	11	the	the	DET
cana-673	160	12	columns	column	NOUN
cana-673	160	13	were	be	AUX
cana-673	160	14	found	find	VERB
cana-673	160	15	.	.	PUNCT
cana-673	161	1	the	the	DET
cana-673	161	2	data	datum	NOUN
cana-673	161	3	was	be	AUX
cana-673	161	4	normalized	normalize	VERB
cana-673	161	5	by	by	ADP
cana-673	161	6	dividing	divide	VERB
cana-673	161	7	values	value	NOUN
cana-673	161	8	in	in	ADP
cana-673	161	9	columns	column	NOUN
cana-673	161	10	by	by	ADP
cana-673	161	11	its	its	PRON
cana-673	161	12	column	column	NOUN
cana-673	161	13	-	-	PUNCT
cana-673	161	14	maximum	maximum	NOUN
cana-673	161	15	value	value	NOUN
cana-673	161	16	.	.	PUNCT
cana-673	162	1	the	the	DET
cana-673	162	2	problem	problem	NOUN
cana-673	162	3	of	of	ADP
cana-673	162	4	missing	miss	VERB
cana-673	162	5	values	value	NOUN
cana-673	162	6	in	in	ADP
cana-673	162	7	the	the	DET
cana-673	162	8	feature	feature	NOUN
cana-673	162	9	set	set	NOUN
cana-673	162	10	was	be	AUX
cana-673	162	11	solved	solve	VERB
cana-673	162	12	using	use	VERB
cana-673	162	13	the	the	DET
cana-673	162	14	mean	mean	ADJ
cana-673	162	15	values	value	NOUN
cana-673	162	16	across	across	ADP
cana-673	162	17	columns	column	NOUN
cana-673	162	18	.	.	PUNCT
cana-673	163	1	the	the	DET
cana-673	163	2	normalization	normalization	NOUN
cana-673	163	3	of	of	ADP
cana-673	163	4	the	the	DET
cana-673	163	5	concatenated	concatenate	VERB
cana-673	163	6	feature	feature	NOUN
cana-673	163	7	vector	vector	NOUN
cana-673	163	8	𝐹𝑐	𝐹𝑐	PROPN
cana-673	163	9	(	(	PUNCT
cana-673	163	10	comprising	comprise	VERB
cana-673	163	11	local	local	ADJ
cana-673	163	12	,	,	PUNCT
cana-673	163	13	global	global	ADJ
cana-673	163	14	,	,	PUNCT
cana-673	163	15	and	and	CCONJ
cana-673	163	16	handcrafted	handcrafted	ADJ
cana-673	163	17	features	feature	NOUN
cana-673	163	18	)	)	PUNCT
cana-673	163	19	is	be	AUX
cana-673	163	20	performed	perform	VERB
cana-673	163	21	using	use	VERB
cana-673	163	22	max	max	PROPN
cana-673	163	23	-	-	PUNCT
cana-673	163	24	normalization	normalization	NOUN
cana-673	163	25	.	.	PUNCT
cana-673	164	1	𝐹𝑐𝑛𝑜𝑟𝑚	𝐹𝑐𝑛𝑜𝑟𝑚	NOUN
cana-673	164	2	=	=	PUNCT
cana-673	165	1	𝐹𝑐	𝐹𝑐	PROPN
cana-673	165	2	max	max	PROPN
cana-673	165	3	(	(	PUNCT
cana-673	165	4	𝐹𝑐	𝐹𝑐	PROPN
cana-673	165	5	)	)	PUNCT
cana-673	165	6	where	where	SCONJ
cana-673	165	7	,	,	PUNCT
cana-673	165	8	max	max	PROPN
cana-673	165	9	(	(	PUNCT
cana-673	165	10	𝐹𝑐)=	𝐹𝑐)=	NUM
cana-673	165	11	“	"	PUNCT
cana-673	165	12	maximum	maximum	ADJ
cana-673	165	13	value	value	NOUN
cana-673	165	14	across	across	ADP
cana-673	165	15	the	the	DET
cana-673	165	16	columns	column	NOUN
cana-673	165	17	of	of	ADP
cana-673	165	18	the	the	DET
cana-673	165	19	feature	feature	NOUN
cana-673	165	20	vector	vector	NOUN
cana-673	165	21	𝐹𝑐	𝐹𝑐	NOUN
cana-673	165	22	”	"	PUNCT
cana-673	165	23	missing	miss	VERB
cana-673	165	24	values	value	NOUN
cana-673	165	25	in	in	ADP
cana-673	165	26	the	the	DET
cana-673	165	27	feature	feature	NOUN
cana-673	165	28	vector	vector	NOUN
cana-673	165	29	𝐹𝑐	𝐹𝑐	PRON
cana-673	165	30	are	be	AUX
cana-673	165	31	imputed	impute	VERB
cana-673	165	32	by	by	ADP
cana-673	165	33	replacing	replace	VERB
cana-673	165	34	them	they	PRON
cana-673	165	35	with	with	ADP
cana-673	165	36	the	the	DET
cana-673	165	37	mean	mean	NOUN
cana-673	165	38	of	of	ADP
cana-673	165	39	the	the	DET
cana-673	165	40	respective	respective	ADJ
cana-673	165	41	columns	column	NOUN
cana-673	165	42	.	.	PUNCT
cana-673	166	1	𝐹𝑐(𝑖	𝐹𝑐(𝑖	NOUN
cana-673	166	2	,	,	PUNCT
cana-673	166	3	𝑗	𝑗	NOUN
cana-673	166	4	)	)	PUNCT
cana-673	166	5	=	=	PRON
cana-673	166	6	{	{	PUNCT
cana-673	166	7	𝐹𝑐(𝑖	𝐹𝑐(𝑖	NOUN
cana-673	166	8	,	,	PUNCT
cana-673	166	9	𝑗	𝑗	NOUN
cana-673	166	10	)	)	PUNCT
cana-673	166	11	𝑖𝑓	𝑖𝑓	ADP
cana-673	166	12	𝐹𝑐(𝑖	𝐹𝑐(𝑖	NOUN
cana-673	166	13	,	,	PUNCT
cana-673	166	14	𝑗)𝑖𝑠	𝑗)𝑖𝑠	PROPN
cana-673	166	15	𝑛𝑜𝑡	𝑛𝑜𝑡	NOUN
cana-673	166	16	𝑚𝑖𝑠𝑠𝑖𝑛𝑔	𝑚𝑖𝑠𝑠𝑖𝑛𝑔	NOUN
cana-673	166	17	1	1	NUM
cana-673	166	18	𝑛	𝑛	PRON
cana-673	166	19	∑	∑	PUNCT
cana-673	166	20	𝐹𝑐(𝑘	𝐹𝑐(𝑘	NOUN
cana-673	166	21	,	,	PUNCT
cana-673	166	22	𝑗	𝑗	NOUN
cana-673	166	23	)	)	PUNCT
cana-673	166	24	𝑖𝑓	𝑖𝑓	ADP
cana-673	167	1	𝐹𝑐(𝑖	𝐹𝑐(𝑖	NOUN
cana-673	167	2	,	,	PUNCT
cana-673	167	3	𝑗)𝑖𝑠	𝑗)𝑖𝑠	PROPN
cana-673	167	4	𝑚𝑖𝑠𝑠𝑖𝑛𝑔	𝑚𝑖𝑠𝑠𝑖𝑛𝑔	NOUN
cana-673	167	5	𝑛	𝑛	PROPN
cana-673	167	6	𝑘=1	𝑘=1	NOUN
cana-673	167	7	where	where	SCONJ
cana-673	167	8	,	,	PUNCT
cana-673	167	9	𝐹𝑐(𝑖	𝐹𝑐(𝑖	PROPN
cana-673	167	10	,	,	PUNCT
cana-673	167	11	𝑗	𝑗	NOUN
cana-673	167	12	)	)	PUNCT
cana-673	167	13	=	=	PUNCT
cana-673	167	14	“	"	PUNCT
cana-673	167	15	(	(	PUNCT
cana-673	167	16	i	i	PROPN
cana-673	167	17	,	,	PUNCT
cana-673	167	18	j	j	PROPN
cana-673	167	19	)	)	PUNCT
cana-673	167	20	element	element	NOUN
cana-673	167	21	of	of	ADP
cana-673	167	22	the	the	DET
cana-673	167	23	feature	feature	NOUN
cana-673	167	24	matrix	matrix	NOUN
cana-673	167	25	”	"	PUNCT
cana-673	167	26	,	,	PUNCT
cana-673	167	27	n	n	NOUN
cana-673	167	28	=	=	PUNCT
cana-673	167	29	“	"	PUNCT
cana-673	167	30	total	total	ADJ
cana-673	167	31	no	no	INTJ
cana-673	167	32	.	.	PUNCT
cana-673	167	33	of	of	ADP
cana-673	167	34	samples	sample	NOUN
cana-673	167	35	”	"	PUNCT
cana-673	167	36	.	.	PUNCT
cana-673	168	1	4	4	X
cana-673	168	2	.	.	NOUN
cana-673	168	3	results	result	NOUN
cana-673	168	4	and	and	CCONJ
cana-673	168	5	discussion	discussion	NOUN
cana-673	168	6	the	the	DET
cana-673	168	7	proposed	propose	VERB
cana-673	168	8	scene	scene	NOUN
cana-673	168	9	classification	classification	NOUN
cana-673	168	10	system	system	NOUN
cana-673	168	11	was	be	AUX
cana-673	168	12	developed	develop	VERB
cana-673	168	13	using	use	VERB
cana-673	168	14	python	python	NOUN
cana-673	168	15	3.9	3.9	NUM
cana-673	168	16	on	on	ADP
cana-673	168	17	spyder	spyder	NOUN
cana-673	168	18	5	5	NUM
cana-673	168	19	,	,	PUNCT
cana-673	168	20	windows	window	VERB
cana-673	168	21	11	11	NUM
cana-673	168	22	environment	environment	NOUN
cana-673	168	23	,	,	PUNCT
cana-673	168	24	i5	i5	NOUN
cana-673	168	25	processor	processor	NOUN
cana-673	168	26	,	,	PUNCT
cana-673	168	27	16	16	NUM
cana-673	168	28	gb	gb	NOUN
cana-673	168	29	ram	ram	NOUN
cana-673	168	30	,	,	PUNCT
cana-673	168	31	and	and	CCONJ
cana-673	168	32	512	512	NUM
cana-673	168	33	gb	gb	NOUN
cana-673	168	34	ssd	ssd	NOUN
cana-673	168	35	.	.	PUNCT
cana-673	169	1	the	the	DET
cana-673	169	2	samples	sample	NOUN
cana-673	169	3	were	be	AUX
cana-673	169	4	separated	separate	VERB
cana-673	169	5	in	in	ADP
cana-673	169	6	ratio	ratio	NOUN
cana-673	169	7	75:10:15	75:10:15	NUM
cana-673	169	8	%	%	NOUN
cana-673	169	9	for	for	ADP
cana-673	169	10	training	training	NOUN
cana-673	169	11	,	,	PUNCT
cana-673	169	12	validation	validation	NOUN
cana-673	169	13	and	and	CCONJ
cana-673	169	14	test	test	NOUN
cana-673	169	15	.	.	PUNCT
cana-673	170	1	the	the	DET
cana-673	170	2	following	follow	VERB
cana-673	170	3	parameters	parameter	NOUN
cana-673	170	4	indicated	indicate	VERB
cana-673	170	5	in	in	ADP
cana-673	170	6	table	table	NOUN
cana-673	170	7	iii	iii	NOUN
cana-673	170	8	were	be	AUX
cana-673	170	9	initialized	initialize	VERB
cana-673	170	10	for	for	ADP
cana-673	170	11	the	the	DET
cana-673	170	12	last	last	ADJ
cana-673	170	13	classification	classification	NOUN
cana-673	170	14	layer	layer	NOUN
cana-673	170	15	for	for	ADP
cana-673	170	16	training	train	VERB
cana-673	170	17	the	the	DET
cana-673	170	18	samples	sample	NOUN
cana-673	170	19	.	.	PUNCT
cana-673	171	1	the	the	DET
cana-673	171	2	fully	fully	ADV
cana-673	171	3	connected	connect	VERB
cana-673	171	4	layer	layer	NOUN
cana-673	171	5	comprised	comprise	VERB
cana-673	171	6	of	of	ADP
cana-673	171	7	one	one	NUM
cana-673	171	8	-	-	PUNCT
cana-673	171	9	dimensional	dimensional	ADJ
cana-673	171	10	convolutional	convolutional	ADJ
cana-673	171	11	layer	layer	NOUN
cana-673	171	12	with	with	ADP
cana-673	171	13	filter	filter	NOUN
cana-673	171	14	size=8	size=8	PROPN
cana-673	171	15	,	,	PUNCT
cana-673	171	16	kernel	kernel	PROPN
cana-673	171	17	size=3	size=3	PROPN
cana-673	171	18	with	with	ADP
cana-673	171	19	activation=’linear	activation=’linear	ADP
cana-673	171	20	.	.	PUNCT
cana-673	172	1	it	it	PRON
cana-673	172	2	was	be	AUX
cana-673	172	3	followed	follow	VERB
cana-673	172	4	by	by	ADP
cana-673	172	5	a	a	DET
cana-673	172	6	batch	batch	NOUN
cana-673	172	7	normalization	normalization	NOUN
cana-673	172	8	layer	layer	NOUN
cana-673	172	9	(	(	PUNCT
cana-673	172	10	bnl	bnl	PROPN
cana-673	172	11	)	)	PUNCT
cana-673	172	12	,	,	PUNCT
cana-673	172	13	a	a	DET
cana-673	172	14	rectified	rectified	ADJ
cana-673	172	15	linear	linear	NOUN
cana-673	172	16	unit	unit	NOUN
cana-673	172	17	activation	activation	NOUN
cana-673	172	18	layer	layer	NOUN
cana-673	172	19	(	(	PUNCT
cana-673	172	20	relu	relu	NOUN
cana-673	172	21	)	)	PUNCT
cana-673	172	22	with	with	ADP
cana-673	172	23	alpha=0.25	alpha=0.25	NOUN
cana-673	172	24	,	,	PUNCT
cana-673	172	25	one	one	NUM
cana-673	172	26	-	-	PUNCT
cana-673	172	27	dimensional	dimensional	ADJ
cana-673	172	28	max	max	PROPN
cana-673	172	29	pooling	pool	VERB
cana-673	172	30	layer	layer	NOUN
cana-673	172	31	(	(	PUNCT
cana-673	172	32	mpl	mpl	PROPN
cana-673	172	33	)	)	PUNCT
cana-673	172	34	with	with	ADP
cana-673	172	35	pool_size=3	pool_size=3	PROPN
cana-673	172	36	,	,	PUNCT
cana-673	172	37	stride=3	stride=3	PROPN
cana-673	172	38	and	and	CCONJ
cana-673	172	39	a	a	DET
cana-673	172	40	dropout	dropout	NOUN
cana-673	172	41	layer	layer	NOUN
cana-673	172	42	(	(	PUNCT
cana-673	172	43	dl	dl	NOUN
cana-673	172	44	)	)	PUNCT
cana-673	172	45	with	with	ADP
cana-673	172	46	rate=0.25	rate=0.25	NOUN
cana-673	172	47	.	.	PUNCT
cana-673	173	1	figure	figure	NOUN
cana-673	173	2	6	6	NUM
cana-673	173	3	below	below	ADV
cana-673	173	4	shows	show	VERB
cana-673	173	5	the	the	DET
cana-673	173	6	fully	fully	ADV
cana-673	173	7	connected	connected	ADJ
cana-673	173	8	layer	layer	NOUN
cana-673	173	9	used	use	VERB
cana-673	173	10	for	for	ADP
cana-673	173	11	classification	classification	NOUN
cana-673	173	12	.	.	PUNCT
cana-673	174	1	figure	figure	NOUN
cana-673	174	2	6	6	NUM
cana-673	174	3	–	–	PUNCT
cana-673	174	4	classification	classification	NOUN
cana-673	174	5	layer	layer	NOUN
cana-673	174	6	for	for	ADP
cana-673	174	7	scene	scene	NOUN
cana-673	174	8	categories	category	NOUN
cana-673	174	9	communications	communication	NOUN
cana-673	174	10	on	on	ADP
cana-673	174	11	applied	apply	VERB
cana-673	174	12	nonlinear	nonlinear	ADJ
cana-673	174	13	analysis	analysis	NOUN
cana-673	174	14	issn	issn	NOUN
cana-673	174	15	:	:	PUNCT
cana-673	174	16	1074	1074	NUM
cana-673	174	17	-	-	PUNCT
cana-673	174	18	133x	133x	NUM
cana-673	174	19	vol	vol	NOUN
cana-673	174	20	31	31	NUM
cana-673	174	21	no	no	NOUN
cana-673	174	22	.	.	PUNCT
cana-673	175	1	2s	2s	NUM
cana-673	175	2	(	(	PUNCT
cana-673	175	3	2024	2024	NUM
cana-673	175	4	)	)	PUNCT
cana-673	175	5	602	602	NUM
cana-673	175	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-673	175	7	table	table	NOUN
cana-673	175	8	iii	iii	X
cana-673	175	9	–	–	PUNCT
cana-673	175	10	network	network	NOUN
cana-673	175	11	parameters	parameter	NOUN
cana-673	175	12	parameters	parameter	NOUN
cana-673	175	13	value	value	NOUN
cana-673	175	14	batch	batch	NOUN
cana-673	175	15	size	size	NOUN
cana-673	175	16	25	25	NUM
cana-673	175	17	epoch	epoch	NOUN
cana-673	175	18	1000	1000	NUM
cana-673	175	19	iterations	iteration	NOUN
cana-673	175	20	10	10	NUM
cana-673	175	21	activation	activation	NOUN
cana-673	175	22	‘	'	PUNCT
cana-673	175	23	softmax	softmax	NOUN
cana-673	175	24	’	'	PUNCT
cana-673	175	25	optimizer	optimizer	NOUN
cana-673	175	26	adam	adam	NOUN
cana-673	175	27	activation	activation	NOUN
cana-673	175	28	for	for	ADP
cana-673	175	29	fc	fc	PROPN
cana-673	175	30	‘	'	PUNCT
cana-673	175	31	selu	selu	PROPN
cana-673	175	32	’	'	PUNCT
cana-673	175	33	we	we	PRON
cana-673	175	34	used	use	VERB
cana-673	175	35	random	random	ADJ
cana-673	175	36	state	state	NOUN
cana-673	175	37	to	to	PART
cana-673	175	38	distinguish	distinguish	VERB
cana-673	175	39	the	the	DET
cana-673	175	40	train	train	NOUN
cana-673	175	41	,	,	PUNCT
cana-673	175	42	validation	validation	NOUN
cana-673	175	43	and	and	CCONJ
cana-673	175	44	test	test	NOUN
cana-673	175	45	samples	sample	NOUN
cana-673	175	46	and	and	CCONJ
cana-673	175	47	iterated	iterate	VERB
cana-673	175	48	the	the	DET
cana-673	175	49	trainingtesting	trainingteste	VERB
cana-673	175	50	sequence	sequence	NOUN
cana-673	175	51	for	for	ADP
cana-673	175	52	10	10	NUM
cana-673	175	53	times	time	NOUN
cana-673	175	54	and	and	CCONJ
cana-673	175	55	noted	note	VERB
cana-673	175	56	the	the	DET
cana-673	175	57	average	average	ADJ
cana-673	175	58	classification	classification	NOUN
cana-673	175	59	accuracy	accuracy	NOUN
cana-673	175	60	.	.	PUNCT
cana-673	176	1	we	we	PRON
cana-673	176	2	conducted	conduct	VERB
cana-673	176	3	experiments	experiment	NOUN
cana-673	176	4	considering	consider	VERB
cana-673	176	5	combination	combination	NOUN
cana-673	176	6	of	of	ADP
cana-673	176	7	all	all	DET
cana-673	176	8	classes	class	NOUN
cana-673	176	9	from	from	ADP
cana-673	176	10	minimum	minimum	NOUN
cana-673	176	11	two	two	NUM
cana-673	176	12	to	to	PART
cana-673	176	13	maximum	maximum	ADJ
cana-673	176	14	four	four	NUM
cana-673	176	15	.	.	PUNCT
cana-673	177	1	the	the	DET
cana-673	177	2	aim	aim	NOUN
cana-673	177	3	was	be	AUX
cana-673	177	4	to	to	PART
cana-673	177	5	evaluate	evaluate	VERB
cana-673	177	6	the	the	DET
cana-673	177	7	correlation	correlation	NOUN
cana-673	177	8	between	between	ADP
cana-673	177	9	different	different	ADJ
cana-673	177	10	classes	class	NOUN
cana-673	177	11	and	and	CCONJ
cana-673	177	12	the	the	DET
cana-673	177	13	effect	effect	NOUN
cana-673	177	14	of	of	ADP
cana-673	177	15	change	change	NOUN
cana-673	177	16	in	in	ADP
cana-673	177	17	samples	sample	NOUN
cana-673	177	18	for	for	ADP
cana-673	177	19	training	training	NOUN
cana-673	177	20	,	,	PUNCT
cana-673	177	21	validation	validation	NOUN
cana-673	177	22	and	and	CCONJ
cana-673	177	23	testing	testing	NOUN
cana-673	177	24	.	.	PUNCT
cana-673	178	1	the	the	DET
cana-673	178	2	following	follow	VERB
cana-673	178	3	table	table	NOUN
cana-673	178	4	iv	iv	NUM
cana-673	178	5	shows	show	VERB
cana-673	178	6	the	the	DET
cana-673	178	7	evaluation	evaluation	NOUN
cana-673	178	8	for	for	ADP
cana-673	178	9	all	all	DET
cana-673	178	10	combinations	combination	NOUN
cana-673	178	11	in	in	ADP
cana-673	178	12	terms	term	NOUN
cana-673	178	13	of	of	ADP
cana-673	178	14	classification	classification	NOUN
cana-673	178	15	accuracy	accuracy	NOUN
cana-673	178	16	.	.	PUNCT
cana-673	179	1	table	table	NOUN
cana-673	179	2	v	v	PROPN
cana-673	179	3	indicates	indicate	VERB
cana-673	179	4	the	the	DET
cana-673	179	5	classification	classification	NOUN
cana-673	179	6	accuracy	accuracy	NOUN
cana-673	179	7	when	when	SCONJ
cana-673	179	8	three	three	NUM
cana-673	179	9	classes	class	NOUN
cana-673	179	10	were	be	AUX
cana-673	179	11	considered	consider	VERB
cana-673	179	12	.	.	PUNCT
cana-673	180	1	as	as	SCONJ
cana-673	180	2	seen	see	VERB
cana-673	180	3	from	from	ADP
cana-673	180	4	table	table	NOUN
cana-673	180	5	iv	iv	NUM
cana-673	180	6	and	and	CCONJ
cana-673	180	7	table	table	NOUN
cana-673	180	8	v	v	NOUN
cana-673	180	9	,	,	PUNCT
cana-673	180	10	crosswalk	crosswalk	NOUN
cana-673	180	11	and	and	CCONJ
cana-673	180	12	over	over	ADP
cana-673	180	13	pass	pass	NOUN
cana-673	180	14	/	/	SYM
cana-673	180	15	tunnel	tunnel	NOUN
cana-673	180	16	class	class	NOUN
cana-673	180	17	are	be	AUX
cana-673	180	18	closely	closely	ADV
cana-673	180	19	related	relate	VERB
cana-673	180	20	due	due	ADP
cana-673	180	21	to	to	ADP
cana-673	180	22	the	the	DET
cana-673	180	23	fact	fact	NOUN
cana-673	180	24	that	that	SCONJ
cana-673	180	25	many	many	ADJ
cana-673	180	26	scene	scene	NOUN
cana-673	180	27	images	image	NOUN
cana-673	180	28	considered	consider	VERB
cana-673	180	29	in	in	ADP
cana-673	180	30	the	the	DET
cana-673	180	31	dataset	dataset	NOUN
cana-673	180	32	contains	contain	VERB
cana-673	180	33	crosswalk	crosswalk	NOUN
cana-673	180	34	prints	print	NOUN
cana-673	180	35	and	and	CCONJ
cana-673	180	36	over	over	ADP
cana-673	180	37	pass	pass	VERB
cana-673	180	38	too	too	ADV
cana-673	180	39	as	as	SCONJ
cana-673	180	40	depicted	depict	VERB
cana-673	180	41	in	in	ADP
cana-673	180	42	the	the	DET
cana-673	180	43	figure	figure	NOUN
cana-673	180	44	7	7	NUM
cana-673	180	45	.	.	PUNCT
cana-673	181	1	also	also	ADV
cana-673	181	2	,	,	PUNCT
cana-673	181	3	we	we	PRON
cana-673	181	4	have	have	AUX
cana-673	181	5	considered	consider	VERB
cana-673	181	6	scene	scene	NOUN
cana-673	181	7	with	with	ADP
cana-673	181	8	dimmed	dim	VERB
cana-673	181	9	crosswalks	crosswalk	NOUN
cana-673	181	10	or	or	CCONJ
cana-673	181	11	very	very	ADV
cana-673	181	12	few	few	ADJ
cana-673	181	13	strips	strip	NOUN
cana-673	181	14	of	of	ADP
cana-673	181	15	crosswalk	crosswalk	NOUN
cana-673	181	16	which	which	PRON
cana-673	181	17	are	be	AUX
cana-673	181	18	correlated	correlate	VERB
cana-673	181	19	with	with	ADP
cana-673	181	20	the	the	DET
cana-673	181	21	lane	lane	NOUN
cana-673	181	22	strips	strip	NOUN
cana-673	181	23	.	.	PUNCT
cana-673	182	1	some	some	PRON
cana-673	182	2	of	of	ADP
cana-673	182	3	the	the	DET
cana-673	182	4	scene	scene	NOUN
cana-673	182	5	contents	content	NOUN
cana-673	182	6	in	in	ADP
cana-673	182	7	other	other	ADJ
cana-673	182	8	classes	class	NOUN
cana-673	182	9	as	as	SCONJ
cana-673	182	10	shown	show	VERB
cana-673	182	11	in	in	ADP
cana-673	182	12	figure	figure	NOUN
cana-673	182	13	8	8	NUM
cana-673	182	14	are	be	AUX
cana-673	182	15	also	also	ADV
cana-673	182	16	closely	closely	ADV
cana-673	182	17	correlated	correlate	VERB
cana-673	182	18	which	which	PRON
cana-673	182	19	amounts	amount	VERB
cana-673	182	20	to	to	ADP
cana-673	182	21	lower	low	ADJ
cana-673	182	22	classification	classification	NOUN
cana-673	182	23	accuracy	accuracy	NOUN
cana-673	182	24	.	.	PUNCT
cana-673	183	1	table	table	NOUN
cana-673	183	2	iv	iv	NUM
cana-673	183	3	–	–	PUNCT
cana-673	183	4	training	training	NOUN
cana-673	183	5	and	and	CCONJ
cana-673	183	6	test	test	NOUN
cana-673	183	7	accuracy	accuracy	NOUN
cana-673	183	8	for	for	ADP
cana-673	183	9	two	two	NUM
cana-673	183	10	classes	class	NOUN
cana-673	183	11	class	class	NOUN
cana-673	183	12	1	1	NUM
cana-673	183	13	class	class	NOUN
cana-673	183	14	2	2	NUM
cana-673	183	15	accuracy	accuracy	NOUN
cana-673	183	16	training	training	NOUN
cana-673	183	17	accuracy	accuracy	NOUN
cana-673	183	18	–	–	PUNCT
cana-673	183	19	test	test	NOUN
cana-673	183	20	crosswalk	crosswalk	NOUN
cana-673	183	21	highway	highway	NOUN
cana-673	183	22	100	100	NUM
cana-673	183	23	97.32	97.32	NUM
cana-673	183	24	crosswalk	crosswalk	NOUN
cana-673	183	25	over	over	ADP
cana-673	183	26	pass	pass	NOUN
cana-673	183	27	/	/	SYM
cana-673	183	28	tunnel	tunnel	NOUN
cana-673	183	29	99.90	99.90	NUM
cana-673	183	30	89.78	89.78	NUM
cana-673	183	31	crosswalk	crosswalk	NOUN
cana-673	183	32	parking	parking	NOUN
cana-673	183	33	100	100	NUM
cana-673	183	34	98.18	98.18	NUM
cana-673	183	35	highway	highway	NOUN
cana-673	183	36	over	over	ADP
cana-673	183	37	pass	pass	PROPN
cana-673	183	38	/	/	SYM
cana-673	183	39	tunnel	tunnel	NOUN
cana-673	183	40	100	100	NUM
cana-673	183	41	94.82	94.82	NUM
cana-673	183	42	highway	highway	NOUN
cana-673	183	43	parking	park	VERB
cana-673	183	44	100	100	NUM
cana-673	183	45	98.66	98.66	NUM
cana-673	183	46	over	over	ADP
cana-673	183	47	pass	pass	NOUN
cana-673	183	48	/	/	SYM
cana-673	183	49	tunnel	tunnel	NOUN
cana-673	183	50	parking	park	VERB
cana-673	183	51	100	100	NUM
cana-673	183	52	91.80	91.80	NUM
cana-673	183	53	figure	figure	NOUN
cana-673	183	54	7examples	7example	NOUN
cana-673	183	55	for	for	ADP
cana-673	183	56	closely	closely	ADV
cana-673	183	57	correlated	correlate	VERB
cana-673	183	58	objects	object	NOUN
cana-673	183	59	.	.	PUNCT
cana-673	184	1	crosswalks	crosswalk	NOUN
cana-673	184	2	with	with	ADP
cana-673	184	3	over	over	ADP
cana-673	184	4	pass	pass	NOUN
cana-673	184	5	,	,	PUNCT
cana-673	184	6	crosswalks	crosswalk	NOUN
cana-673	184	7	with	with	ADP
cana-673	184	8	tunnel	tunnel	NOUN
cana-673	184	9	,	,	PUNCT
cana-673	184	10	misleading	mislead	VERB
cana-673	184	11	lane	lane	NOUN
cana-673	184	12	as	as	ADP
cana-673	184	13	crosswalk	crosswalk	NOUN
cana-673	184	14	with	with	ADP
cana-673	184	15	tunnel	tunnel	NOUN
cana-673	184	16	.	.	PUNCT
cana-673	185	1	figure	figure	VERB
cana-673	185	2	8examples	8examples	PROPN
cana-673	185	3	for	for	ADP
cana-673	185	4	closely	closely	ADV
cana-673	185	5	correlated	correlate	VERB
cana-673	185	6	objects	object	NOUN
cana-673	185	7	in	in	ADP
cana-673	185	8	other	other	ADJ
cana-673	185	9	classes	class	NOUN
cana-673	185	10	.	.	PUNCT
cana-673	186	1	crosswalks	crosswalk	NOUN
cana-673	186	2	with	with	ADP
cana-673	186	3	parking	parking	NOUN
cana-673	186	4	,	,	PUNCT
cana-673	186	5	crosswalks	crosswalk	NOUN
cana-673	186	6	under	under	ADP
cana-673	186	7	tunnel	tunnel	NOUN
cana-673	186	8	,	,	PUNCT
cana-673	186	9	crosswalk	crosswalk	NOUN
cana-673	186	10	on	on	ADP
cana-673	186	11	highway	highway	NOUN
cana-673	186	12	with	with	ADP
cana-673	186	13	parking	parking	NOUN
cana-673	186	14	.	.	PUNCT
cana-673	187	1	communications	communication	NOUN
cana-673	187	2	on	on	ADP
cana-673	187	3	applied	apply	VERB
cana-673	187	4	nonlinear	nonlinear	ADJ
cana-673	187	5	analysis	analysis	NOUN
cana-673	187	6	issn	issn	NOUN
cana-673	187	7	:	:	PUNCT
cana-673	187	8	1074	1074	NUM
cana-673	187	9	-	-	PUNCT
cana-673	187	10	133x	133x	NUM
cana-673	187	11	vol	vol	NOUN
cana-673	187	12	31	31	NUM
cana-673	187	13	no	no	NOUN
cana-673	187	14	.	.	PUNCT
cana-673	188	1	2s	2s	NUM
cana-673	188	2	(	(	PUNCT
cana-673	188	3	2024	2024	NUM
cana-673	188	4	)	)	PUNCT
cana-673	188	5	603	603	NUM
cana-673	188	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-673	188	7	table	table	NOUN
cana-673	188	8	v	v	NOUN
cana-673	188	9	–	–	PUNCT
cana-673	188	10	training	training	NOUN
cana-673	188	11	and	and	CCONJ
cana-673	188	12	test	test	NOUN
cana-673	188	13	accuracy	accuracy	NOUN
cana-673	188	14	for	for	ADP
cana-673	188	15	three	three	NUM
cana-673	188	16	classes	class	NOUN
cana-673	188	17	class	class	NOUN
cana-673	188	18	1	1	NUM
cana-673	188	19	class	class	NOUN
cana-673	188	20	2	2	NUM
cana-673	188	21	class	class	NOUN
cana-673	188	22	3	3	NUM
cana-673	188	23	accuracy	accuracy	NOUN
cana-673	188	24	training	training	NOUN
cana-673	188	25	accuracy	accuracy	NOUN
cana-673	188	26	–	–	PUNCT
cana-673	188	27	test	test	NOUN
cana-673	188	28	crosswalk	crosswalk	NOUN
cana-673	188	29	highway	highway	NOUN
cana-673	188	30	over	over	ADP
cana-673	188	31	pass	pass	PROPN
cana-673	188	32	/	/	SYM
cana-673	188	33	tunnel	tunnel	NOUN
cana-673	188	34	99.67	99.67	NUM
cana-673	188	35	83.70	83.70	NUM
cana-673	188	36	crosswalk	crosswalk	NOUN
cana-673	188	37	highway	highway	NOUN
cana-673	188	38	parking	parking	NOUN
cana-673	188	39	99.75	99.75	NUM
cana-673	188	40	88.54	88.54	NUM
cana-673	188	41	crosswalk	crosswalk	NOUN
cana-673	188	42	over	over	ADP
cana-673	188	43	pass	pass	NOUN
cana-673	188	44	/	/	SYM
cana-673	188	45	tunnel	tunnel	NOUN
cana-673	188	46	parking	parking	NOUN
cana-673	188	47	99.93	99.93	NUM
cana-673	188	48	81.10	81.10	NUM
cana-673	188	49	highway	highway	NOUN
cana-673	188	50	over	over	ADP
cana-673	188	51	pass	pass	PROPN
cana-673	188	52	/	/	SYM
cana-673	188	53	tunnel	tunnel	NOUN
cana-673	188	54	parking	parking	NOUN
cana-673	188	55	99.93	99.93	NUM
cana-673	188	56	86.26	86.26	NUM
cana-673	189	1	finally	finally	ADV
cana-673	189	2	we	we	PRON
cana-673	189	3	tested	test	VERB
cana-673	189	4	the	the	DET
cana-673	189	5	network	network	NOUN
cana-673	189	6	on	on	ADP
cana-673	189	7	all	all	DET
cana-673	189	8	four	four	NUM
cana-673	189	9	classes	class	NOUN
cana-673	189	10	and	and	CCONJ
cana-673	189	11	found	find	VERB
cana-673	189	12	training	training	NOUN
cana-673	189	13	accuracy	accuracy	NOUN
cana-673	189	14	of	of	ADP
cana-673	189	15	99.52	99.52	NUM
cana-673	189	16	%	%	NOUN
cana-673	189	17	and	and	CCONJ
cana-673	189	18	86.79	86.79	NUM
cana-673	189	19	%	%	NOUN
cana-673	189	20	accuracy	accuracy	NOUN
cana-673	189	21	on	on	ADP
cana-673	189	22	test	test	NOUN
cana-673	189	23	samples	sample	NOUN
cana-673	189	24	.	.	PUNCT
cana-673	190	1	however	however	ADV
cana-673	190	2	,	,	PUNCT
cana-673	190	3	very	very	ADV
cana-673	190	4	few	few	ADJ
cana-673	190	5	research	research	NOUN
cana-673	190	6	are	be	AUX
cana-673	190	7	based	base	VERB
cana-673	190	8	on	on	ADP
cana-673	190	9	manual	manual	ADJ
cana-673	190	10	categorization	categorization	NOUN
cana-673	190	11	of	of	ADP
cana-673	190	12	scene	scene	NOUN
cana-673	190	13	images	image	NOUN
cana-673	190	14	,	,	PUNCT
cana-673	190	15	the	the	DET
cana-673	190	16	proposed	propose	VERB
cana-673	190	17	scene	scene	NOUN
cana-673	190	18	classification	classification	NOUN
cana-673	190	19	system	system	NOUN
cana-673	190	20	can	can	AUX
cana-673	190	21	be	be	AUX
cana-673	190	22	compared	compare	VERB
cana-673	190	23	with	with	ADP
cana-673	190	24	other	other	ADJ
cana-673	190	25	likewise	likewise	ADV
cana-673	190	26	recent	recent	ADJ
cana-673	190	27	approaches	approach	NOUN
cana-673	190	28	as	as	SCONJ
cana-673	190	29	shown	show	VERB
cana-673	190	30	in	in	ADP
cana-673	190	31	table	table	NOUN
cana-673	190	32	vi	vi	PROPN
cana-673	190	33	.	.	PUNCT
cana-673	191	1	the	the	DET
cana-673	191	2	comparison	comparison	NOUN
cana-673	191	3	is	be	AUX
cana-673	191	4	based	base	VERB
cana-673	191	5	on	on	ADP
cana-673	191	6	average	average	ADJ
cana-673	191	7	classification	classification	NOUN
cana-673	191	8	accuracy	accuracy	NOUN
cana-673	191	9	.	.	PUNCT
cana-673	192	1	the	the	DET
cana-673	192	2	comparison	comparison	NOUN
cana-673	192	3	clearly	clearly	ADV
cana-673	192	4	shows	show	VERB
cana-673	192	5	that	that	SCONJ
cana-673	192	6	the	the	DET
cana-673	192	7	proposed	propose	VERB
cana-673	192	8	scene	scene	NOUN
cana-673	192	9	classification	classification	NOUN
cana-673	192	10	model	model	NOUN
cana-673	192	11	outperforms	outperform	VERB
cana-673	192	12	the	the	DET
cana-673	192	13	improved	improved	ADJ
cana-673	192	14	deep	deep	ADJ
cana-673	192	15	network	network	NOUN
cana-673	192	16	suggested	suggest	VERB
cana-673	192	17	in	in	ADP
cana-673	192	18	[	[	X
cana-673	192	19	36	36	NUM
cana-673	192	20	]	]	PUNCT
cana-673	192	21	.	.	PUNCT
cana-673	193	1	the	the	DET
cana-673	193	2	model	model	NOUN
cana-673	193	3	suggested	suggest	VERB
cana-673	193	4	in	in	ADP
cana-673	193	5	[	[	X
cana-673	193	6	36	36	NUM
cana-673	193	7	]	]	PUNCT
cana-673	193	8	performed	perform	VERB
cana-673	193	9	well	well	ADV
cana-673	193	10	on	on	ADP
cana-673	193	11	self	self	NOUN
cana-673	193	12	-	-	PUNCT
cana-673	193	13	generated	generate	VERB
cana-673	193	14	datasets	dataset	NOUN
cana-673	193	15	.	.	PUNCT
cana-673	194	1	the	the	DET
cana-673	194	2	accuracy	accuracy	NOUN
cana-673	194	3	75.99	75.99	NUM
cana-673	194	4	%	%	NOUN
cana-673	194	5	is	be	AUX
cana-673	194	6	claimed	claim	VERB
cana-673	194	7	on	on	ADP
cana-673	194	8	bddk-100	bddk-100	ADJ
cana-673	194	9	dataset	dataset	VERB
cana-673	194	10	from	from	ADP
cana-673	194	11	where	where	SCONJ
cana-673	194	12	we	we	PRON
cana-673	194	13	have	have	AUX
cana-673	194	14	used	use	VERB
cana-673	194	15	most	most	ADJ
cana-673	194	16	of	of	ADP
cana-673	194	17	the	the	DET
cana-673	194	18	images	image	NOUN
cana-673	194	19	for	for	ADP
cana-673	194	20	our	our	PRON
cana-673	194	21	dataset	dataset	NOUN
cana-673	194	22	.	.	PUNCT
cana-673	194	23	table	table	NOUN
cana-673	194	24	vi	vi	PROPN
cana-673	194	25	–	–	PUNCT
cana-673	194	26	comparative	comparative	ADJ
cana-673	194	27	test	test	NOUN
cana-673	194	28	results	result	NOUN
cana-673	194	29	based	base	VERB
cana-673	194	30	on	on	ADP
cana-673	194	31	average	average	ADJ
cana-673	194	32	accuracy	accuracy	NOUN
cana-673	194	33	method	method	NOUN
cana-673	194	34	number	number	NOUN
cana-673	194	35	of	of	ADP
cana-673	194	36	classes	class	NOUN
cana-673	194	37	classes	class	VERB
cana-673	194	38	average	average	ADJ
cana-673	194	39	accuracy	accuracy	NOUN
cana-673	194	40	%	%	NOUN
cana-673	194	41	dncva	dncva	NOUN
cana-673	195	1	[	[	X
cana-673	195	2	35	35	NUM
cana-673	195	3	]	]	SYM
cana-673	195	4	2	2	NUM
cana-673	195	5	indoor	indoor	ADJ
cana-673	195	6	,	,	PUNCT
cana-673	195	7	outdoor	outdoor	NOUN
cana-673	195	8	85.06	85.06	NUM
cana-673	195	9	improved	improved	ADJ
cana-673	195	10	dn	dn	NOUN
cana-673	195	11	[	[	X
cana-673	195	12	36	36	NUM
cana-673	195	13	]	]	SYM
cana-673	195	14	5	5	NUM
cana-673	195	15	crosswalk	crosswalk	NOUN
cana-673	195	16	,	,	PUNCT
cana-673	195	17	gas	gas	NOUN
cana-673	195	18	station	station	NOUN
cana-673	195	19	,	,	PUNCT
cana-673	195	20	highway	highway	NOUN
cana-673	195	21	,	,	PUNCT
cana-673	195	22	parking	parking	NOUN
cana-673	195	23	lot	lot	NOUN
cana-673	195	24	and	and	CCONJ
cana-673	195	25	street	street	NOUN
cana-673	195	26	75.99	75.99	NUM
cana-673	195	27	ours	ours	PRON
cana-673	195	28	4	4	NUM
cana-673	195	29	crosswalk	crosswalk	NOUN
cana-673	195	30	,	,	PUNCT
cana-673	195	31	highway	highway	NOUN
cana-673	195	32	,	,	PUNCT
cana-673	195	33	parking	parking	NOUN
cana-673	195	34	,	,	PUNCT
cana-673	195	35	and	and	CCONJ
cana-673	195	36	over	over	ADP
cana-673	195	37	pass	pass	NOUN
cana-673	195	38	/	/	SYM
cana-673	195	39	tunnel	tunnel	NOUN
cana-673	195	40	86.79	86.79	NUM
cana-673	195	41	5	5	NUM
cana-673	195	42	.	.	PUNCT
cana-673	196	1	conclusion	conclusion	VERB
cana-673	196	2	the	the	DET
cana-673	196	3	scene	scene	NOUN
cana-673	196	4	classification	classification	NOUN
cana-673	196	5	based	base	VERB
cana-673	196	6	on	on	ADP
cana-673	196	7	local	local	ADJ
cana-673	196	8	,	,	PUNCT
cana-673	196	9	global	global	ADJ
cana-673	196	10	and	and	CCONJ
cana-673	196	11	fine	fine	ADJ
cana-673	196	12	and	and	CCONJ
cana-673	196	13	coarse	coarse	ADJ
cana-673	196	14	features	feature	NOUN
cana-673	196	15	is	be	AUX
cana-673	196	16	studied	study	VERB
cana-673	196	17	and	and	CCONJ
cana-673	196	18	an	an	DET
cana-673	196	19	efficient	efficient	ADJ
cana-673	196	20	network	network	NOUN
cana-673	196	21	is	be	AUX
cana-673	196	22	presented	present	VERB
cana-673	196	23	in	in	ADP
cana-673	196	24	this	this	DET
cana-673	196	25	article	article	NOUN
cana-673	196	26	.	.	PUNCT
cana-673	197	1	in	in	ADP
cana-673	197	2	the	the	DET
cana-673	197	3	proposed	propose	VERB
cana-673	197	4	deep	deep	ADJ
cana-673	197	5	network	network	NOUN
cana-673	197	6	system	system	NOUN
cana-673	197	7	,	,	PUNCT
cana-673	197	8	local	local	ADJ
cana-673	197	9	features	feature	NOUN
cana-673	197	10	are	be	AUX
cana-673	197	11	obtained	obtain	VERB
cana-673	197	12	using	use	VERB
cana-673	197	13	the	the	DET
cana-673	197	14	yolov5	yolov5	NOUN
cana-673	197	15	m	m	PROPN
cana-673	197	16	and	and	CCONJ
cana-673	197	17	vgg19	vgg19	PROPN
cana-673	197	18	networks	network	NOUN
cana-673	197	19	through	through	ADP
cana-673	197	20	object	object	NOUN
cana-673	197	21	detection	detection	NOUN
cana-673	197	22	and	and	CCONJ
cana-673	197	23	blind	blind	ADJ
cana-673	197	24	features	feature	NOUN
cana-673	197	25	respectively	respectively	ADV
cana-673	197	26	.	.	PUNCT
cana-673	198	1	global	global	ADJ
cana-673	198	2	features	feature	NOUN
cana-673	198	3	are	be	AUX
cana-673	198	4	obtained	obtain	VERB
cana-673	198	5	using	use	VERB
cana-673	198	6	the	the	DET
cana-673	198	7	vgg19	vgg19	NOUN
cana-673	198	8	network	network	NOUN
cana-673	198	9	directly	directly	ADV
cana-673	198	10	from	from	ADP
cana-673	198	11	resized	resized	ADJ
cana-673	198	12	image	image	NOUN
cana-673	198	13	.	.	PUNCT
cana-673	199	1	and	and	CCONJ
cana-673	199	2	the	the	DET
cana-673	199	3	handcrafted	handcrafted	ADJ
cana-673	199	4	features	feature	NOUN
cana-673	199	5	are	be	AUX
cana-673	199	6	extracted	extract	VERB
cana-673	199	7	to	to	PART
cana-673	199	8	improve	improve	VERB
cana-673	199	9	the	the	DET
cana-673	199	10	classification	classification	NOUN
cana-673	199	11	accuracy	accuracy	NOUN
cana-673	199	12	owing	owe	VERB
cana-673	199	13	to	to	ADP
cana-673	199	14	the	the	DET
cana-673	199	15	complexity	complexity	NOUN
cana-673	199	16	of	of	ADP
cana-673	199	17	classifying	classify	VERB
cana-673	199	18	correlated	correlated	ADJ
cana-673	199	19	classes	class	NOUN
cana-673	199	20	.	.	PUNCT
cana-673	200	1	the	the	DET
cana-673	200	2	handcrafted	handcraft	VERB
cana-673	200	3	features	feature	NOUN
cana-673	200	4	used	use	VERB
cana-673	200	5	in	in	ADP
cana-673	200	6	this	this	DET
cana-673	200	7	work	work	NOUN
cana-673	200	8	are	be	AUX
cana-673	200	9	more	more	ADV
cana-673	200	10	than	than	ADP
cana-673	200	11	double	double	ADJ
cana-673	200	12	of	of	ADP
cana-673	200	13	the	the	DET
cana-673	200	14	blind	blind	ADJ
cana-673	200	15	features	feature	NOUN
cana-673	200	16	.	.	PUNCT
cana-673	201	1	the	the	DET
cana-673	201	2	self	self	NOUN
cana-673	201	3	-	-	PUNCT
cana-673	201	4	generated	generate	VERB
cana-673	201	5	dataset	dataset	NOUN
cana-673	201	6	uses	use	VERB
cana-673	201	7	four	four	NUM
cana-673	201	8	different	different	ADJ
cana-673	201	9	standard	standard	ADJ
cana-673	201	10	datasets	dataset	NOUN
cana-673	201	11	for	for	ADP
cana-673	201	12	categorizing	categorize	VERB
cana-673	201	13	the	the	DET
cana-673	201	14	images	image	NOUN
cana-673	201	15	into	into	ADP
cana-673	201	16	four	four	NUM
cana-673	201	17	classes	class	NOUN
cana-673	201	18	.	.	PUNCT
cana-673	202	1	the	the	DET
cana-673	202	2	problem	problem	NOUN
cana-673	202	3	of	of	ADP
cana-673	202	4	missing	miss	VERB
cana-673	202	5	values	value	NOUN
cana-673	202	6	in	in	ADP
cana-673	202	7	the	the	DET
cana-673	202	8	feature	feature	NOUN
cana-673	202	9	set	set	NOUN
cana-673	202	10	is	be	AUX
cana-673	202	11	solved	solve	VERB
cana-673	202	12	using	use	VERB
cana-673	202	13	the	the	DET
cana-673	202	14	mean	mean	ADJ
cana-673	202	15	values	value	NOUN
cana-673	202	16	to	to	PART
cana-673	202	17	improve	improve	VERB
cana-673	202	18	the	the	DET
cana-673	202	19	accuracy	accuracy	NOUN
cana-673	202	20	.	.	PUNCT
cana-673	203	1	in	in	ADP
cana-673	203	2	addition	addition	NOUN
cana-673	203	3	,	,	PUNCT
cana-673	203	4	various	various	ADJ
cana-673	203	5	experiments	experiment	NOUN
cana-673	203	6	are	be	AUX
cana-673	203	7	carried	carry	VERB
cana-673	203	8	out	out	ADP
cana-673	203	9	to	to	PART
cana-673	203	10	find	find	VERB
cana-673	203	11	the	the	DET
cana-673	203	12	correlation	correlation	NOUN
cana-673	203	13	between	between	ADP
cana-673	203	14	different	different	ADJ
cana-673	203	15	classes	class	NOUN
cana-673	203	16	through	through	ADP
cana-673	203	17	classification	classification	NOUN
cana-673	203	18	accuracy	accuracy	NOUN
cana-673	203	19	.	.	PUNCT
cana-673	204	1	the	the	DET
cana-673	204	2	result	result	NOUN
cana-673	204	3	obtained	obtain	VERB
cana-673	204	4	shows	show	VERB
cana-673	204	5	that	that	SCONJ
cana-673	204	6	the	the	DET
cana-673	204	7	proposed	propose	VERB
cana-673	204	8	scene	scene	NOUN
cana-673	204	9	classification	classification	NOUN
cana-673	204	10	model	model	NOUN
cana-673	204	11	outperformed	outperform	VERB
cana-673	204	12	the	the	DET
cana-673	204	13	work	work	NOUN
cana-673	204	14	conducted	conduct	VERB
cana-673	204	15	in	in	ADP
cana-673	204	16	[	[	X
cana-673	204	17	36	36	NUM
cana-673	204	18	]	]	PUNCT
cana-673	204	19	for	for	ADP
cana-673	204	20	the	the	DET
cana-673	204	21	bddk-100	bddk-100	ADJ
cana-673	204	22	dataset	dataset	NOUN
cana-673	204	23	.	.	PUNCT
cana-673	205	1	the	the	DET
cana-673	205	2	only	only	ADJ
cana-673	205	3	difference	difference	NOUN
cana-673	205	4	between	between	ADP
cana-673	205	5	work	work	NOUN
cana-673	205	6	carried	carry	VERB
cana-673	205	7	in	in	ADP
cana-673	205	8	[	[	X
cana-673	205	9	36	36	NUM
cana-673	205	10	]	]	PUNCT
cana-673	205	11	and	and	CCONJ
cana-673	205	12	ours	ours	PRON
cana-673	205	13	persists	persist	VERB
cana-673	205	14	in	in	ADP
cana-673	205	15	number	number	NOUN
cana-673	205	16	of	of	ADP
cana-673	205	17	classes	class	NOUN
cana-673	205	18	.	.	PUNCT
cana-673	206	1	in	in	ADP
cana-673	206	2	addition	addition	NOUN
cana-673	206	3	,	,	PUNCT
cana-673	206	4	we	we	PRON
cana-673	206	5	considered	consider	VERB
cana-673	206	6	roadside	roadside	NOUN
cana-673	206	7	parking	parking	NOUN
cana-673	206	8	along	along	ADP
cana-673	206	9	with	with	ADP
cana-673	206	10	the	the	DET
cana-673	206	11	parking	parking	NOUN
cana-673	206	12	lot	lot	NOUN
cana-673	206	13	,	,	PUNCT
cana-673	206	14	dimmed	dim	VERB
cana-673	206	15	crosswalks	crosswalk	NOUN
cana-673	206	16	,	,	PUNCT
cana-673	206	17	crosswalk	crosswalk	NOUN
cana-673	206	18	along	along	ADP
cana-673	206	19	highways	highway	NOUN
cana-673	206	20	,	,	PUNCT
cana-673	206	21	crosswalk	crosswalk	NOUN
cana-673	206	22	under	under	ADP
cana-673	206	23	tunnels	tunnel	NOUN
cana-673	206	24	,	,	PUNCT
cana-673	206	25	roadside	roadside	NOUN
cana-673	206	26	parking	parking	NOUN
cana-673	206	27	under	under	ADP
cana-673	206	28	tunnels	tunnel	NOUN
cana-673	206	29	,	,	PUNCT
cana-673	206	30	diminishing	diminish	VERB
cana-673	206	31	tunnels	tunnel	NOUN
cana-673	206	32	etc	etc	X
cana-673	206	33	.	.	X
cana-673	207	1	however	however	ADV
cana-673	207	2	,	,	PUNCT
cana-673	207	3	there	there	PRON
cana-673	207	4	are	be	VERB
cana-673	207	5	some	some	DET
cana-673	207	6	limitations	limitation	NOUN
cana-673	207	7	which	which	PRON
cana-673	207	8	basically	basically	ADV
cana-673	207	9	includes	include	VERB
cana-673	207	10	filling	fill	VERB
cana-673	207	11	missing	miss	VERB
cana-673	207	12	values	value	NOUN
cana-673	207	13	in	in	ADP
cana-673	207	14	the	the	DET
cana-673	207	15	feature	feature	NOUN
cana-673	207	16	set	set	VERB
cana-673	207	17	where	where	SCONJ
cana-673	207	18	the	the	DET
cana-673	207	19	zero	zero	NUM
cana-673	207	20	entries	entry	NOUN
cana-673	207	21	were	be	AUX
cana-673	207	22	considered	consider	VERB
cana-673	207	23	for	for	ADP
cana-673	207	24	calculating	calculate	VERB
cana-673	207	25	the	the	DET
cana-673	207	26	mean	mean	ADJ
cana-673	207	27	values	value	NOUN
cana-673	207	28	.	.	PUNCT
cana-673	208	1	the	the	DET
cana-673	208	2	number	number	NOUN
cana-673	208	3	of	of	ADP
cana-673	208	4	samples	sample	NOUN
cana-673	208	5	in	in	ADP
cana-673	208	6	each	each	PRON
cana-673	208	7	of	of	ADP
cana-673	208	8	the	the	DET
cana-673	208	9	categories	category	NOUN
cana-673	208	10	considered	consider	VERB
cana-673	208	11	are	be	AUX
cana-673	208	12	less	less	ADJ
cana-673	208	13	especially	especially	ADV
cana-673	208	14	for	for	ADP
cana-673	208	15	the	the	DET
cana-673	208	16	over	over	ADP
cana-673	208	17	pass	pass	NOUN
cana-673	208	18	/	/	SYM
cana-673	208	19	tunnel	tunnel	NOUN
cana-673	208	20	class	class	NOUN
cana-673	208	21	where	where	SCONJ
cana-673	208	22	only	only	ADV
cana-673	208	23	625	625	NUM
cana-673	208	24	samples	sample	NOUN
cana-673	208	25	were	be	AUX
cana-673	208	26	communications	communication	NOUN
cana-673	208	27	on	on	ADP
cana-673	208	28	applied	apply	VERB
cana-673	208	29	nonlinear	nonlinear	ADJ
cana-673	208	30	analysis	analysis	NOUN
cana-673	208	31	issn	issn	NOUN
cana-673	208	32	:	:	PUNCT
cana-673	208	33	1074	1074	NUM
cana-673	208	34	-	-	PUNCT
cana-673	208	35	133x	133x	NUM
cana-673	208	36	vol	vol	NOUN
cana-673	208	37	31	31	NUM
cana-673	208	38	no	no	NOUN
cana-673	208	39	.	.	PUNCT
cana-673	209	1	2s	2s	NUM
cana-673	209	2	(	(	PUNCT
cana-673	209	3	2024	2024	NUM
cana-673	209	4	)	)	PUNCT
cana-673	209	5	604	604	NUM
cana-673	209	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-673	209	7	used	use	VERB
cana-673	209	8	in	in	ADP
cana-673	209	9	total	total	NOUN
cana-673	209	10	.	.	PUNCT
cana-673	210	1	the	the	DET
cana-673	210	2	fine	fine	ADJ
cana-673	210	3	and	and	CCONJ
cana-673	210	4	coarse	coarse	ADJ
cana-673	210	5	features	feature	NOUN
cana-673	210	6	were	be	AUX
cana-673	210	7	part	part	NOUN
cana-673	210	8	of	of	ADP
cana-673	210	9	the	the	DET
cana-673	210	10	gray	gray	ADJ
cana-673	210	11	scale	scale	NOUN
cana-673	210	12	conversion	conversion	NOUN
cana-673	210	13	.	.	PUNCT
cana-673	211	1	yolov5	yolov5	NOUN
cana-673	211	2	m	m	PROPN
cana-673	211	3	is	be	AUX
cana-673	211	4	not	not	PART
cana-673	211	5	trained	train	VERB
cana-673	211	6	to	to	PART
cana-673	211	7	detect	detect	VERB
cana-673	211	8	crosswalk	crosswalk	NOUN
cana-673	211	9	.	.	PUNCT
cana-673	212	1	thus	thus	ADV
cana-673	212	2	prior	prior	ADJ
cana-673	212	3	transfer	transfer	NOUN
cana-673	212	4	learning	learning	NOUN
cana-673	212	5	would	would	AUX
cana-673	212	6	improve	improve	VERB
cana-673	212	7	the	the	DET
cana-673	212	8	accuracy	accuracy	NOUN
cana-673	212	9	.	.	PUNCT
cana-673	213	1	in	in	ADP
cana-673	213	2	future	future	NOUN
cana-673	213	3	,	,	PUNCT
cana-673	213	4	the	the	DET
cana-673	213	5	dataset	dataset	NOUN
cana-673	213	6	should	should	AUX
cana-673	213	7	be	be	AUX
cana-673	213	8	increased	increase	VERB
cana-673	213	9	with	with	ADP
cana-673	213	10	samples	sample	NOUN
cana-673	213	11	and	and	CCONJ
cana-673	213	12	categories	category	NOUN
cana-673	213	13	including	include	VERB
cana-673	213	14	gas	gas	NOUN
cana-673	213	15	stations	station	NOUN
cana-673	213	16	,	,	PUNCT
cana-673	213	17	lane	lane	NOUN
cana-673	213	18	recognition	recognition	NOUN
cana-673	213	19	,	,	PUNCT
cana-673	213	20	school	school	NOUN
cana-673	213	21	vicinities	vicinity	NOUN
cana-673	213	22	,	,	PUNCT
cana-673	213	23	etc	etc	X
cana-673	213	24	.	.	X
cana-673	213	25	other	other	ADJ
cana-673	213	26	deep	deep	ADJ
cana-673	213	27	network	network	NOUN
cana-673	213	28	other	other	ADJ
cana-673	213	29	than	than	ADP
cana-673	213	30	vgg19	vgg19	PROPN
cana-673	213	31	should	should	AUX
cana-673	213	32	be	be	AUX
cana-673	213	33	considered	consider	VERB
cana-673	213	34	for	for	ADP
cana-673	213	35	feature	feature	NOUN
cana-673	213	36	evaluation	evaluation	NOUN
cana-673	213	37	.	.	PUNCT
cana-673	214	1	the	the	DET
cana-673	214	2	final	final	ADJ
cana-673	214	3	layers	layer	NOUN
cana-673	214	4	should	should	AUX
cana-673	214	5	be	be	AUX
cana-673	214	6	substituted	substitute	VERB
cana-673	214	7	for	for	ADP
cana-673	214	8	better	well	ADJ
cana-673	214	9	feature	feature	NOUN
cana-673	214	10	vectors	vector	NOUN
cana-673	214	11	.	.	PUNCT
cana-673	215	1	the	the	DET
cana-673	215	2	object	object	NOUN
cana-673	215	3	features	feature	NOUN
cana-673	215	4	obtained	obtain	VERB
cana-673	215	5	in	in	ADP
cana-673	215	6	the	the	DET
cana-673	215	7	local	local	ADJ
cana-673	215	8	feature	feature	NOUN
cana-673	215	9	extraction	extraction	NOUN
cana-673	215	10	module	module	NOUN
cana-673	215	11	were	be	AUX
cana-673	215	12	added	add	VERB
cana-673	215	13	for	for	ADP
cana-673	215	14	uniform	uniform	ADJ
cana-673	215	15	dimension	dimension	NOUN
cana-673	215	16	.	.	PUNCT
cana-673	216	1	instead	instead	ADV
cana-673	216	2	other	other	ADJ
cana-673	216	3	measure	measure	NOUN
cana-673	216	4	should	should	AUX
cana-673	216	5	be	be	AUX
cana-673	216	6	incorporated	incorporate	VERB
cana-673	216	7	to	to	PART
cana-673	216	8	handle	handle	VERB
cana-673	216	9	such	such	ADJ
cana-673	216	10	situations	situation	NOUN
cana-673	216	11	.	.	PUNCT
cana-673	217	1	references	reference	NOUN
cana-673	217	2	[	[	X
cana-673	217	3	1	1	NUM
cana-673	217	4	]	]	PUNCT
cana-673	217	5	m.	m.	PROPN
cana-673	217	6	huang	huang	PROPN
cana-673	217	7	,	,	PUNCT
cana-673	217	8	x.	x.	PROPN
cana-673	217	9	yan	yan	PROPN
cana-673	217	10	,	,	PUNCT
cana-673	217	11	z.	z.	PROPN
cana-673	217	12	bai	bai	PROPN
cana-673	217	13	,	,	PUNCT
cana-673	217	14	h.	h.	PROPN
cana-673	217	15	zhang	zhang	PROPN
cana-673	217	16	,	,	PUNCT
cana-673	217	17	and	and	CCONJ
cana-673	217	18	z.	z.	PROPN
cana-673	217	19	xu	xu	PROPN
cana-673	217	20	,	,	PUNCT
cana-673	217	21	“	"	PUNCT
cana-673	217	22	key	key	ADJ
cana-673	217	23	technologies	technology	NOUN
cana-673	217	24	of	of	ADP
cana-673	217	25	intelligent	intelligent	ADJ
cana-673	217	26	transportation	transportation	NOUN
cana-673	217	27	based	base	VERB
cana-673	217	28	on	on	ADP
cana-673	217	29	image	image	NOUN
cana-673	217	30	recognition	recognition	NOUN
cana-673	217	31	and	and	CCONJ
cana-673	217	32	optimization	optimization	NOUN
cana-673	217	33	control	control	NOUN
cana-673	217	34	,	,	PUNCT
cana-673	217	35	”	"	PUNCT
cana-673	217	36	int	int	NOUN
cana-673	217	37	.	.	PUNCT
cana-673	218	1	j.	j.	PROPN
cana-673	218	2	pattern	pattern	PROPN
cana-673	218	3	recognit	recognit	VERB
cana-673	218	4	.	.	PUNCT
cana-673	219	1	artif	artif	INTJ
cana-673	219	2	.	.	PUNCT
cana-673	220	1	intell	intell	PROPN
cana-673	220	2	.	.	PUNCT
cana-673	221	1	,	,	PUNCT
cana-673	221	2	vol	vol	NOUN
cana-673	221	3	.	.	PROPN
cana-673	222	1	34	34	NUM
cana-673	222	2	,	,	PUNCT
cana-673	222	3	no	no	INTJ
cana-673	222	4	.	.	NOUN
cana-673	222	5	10	10	NUM
cana-673	222	6	,	,	PUNCT
cana-673	222	7	sep	sep	PROPN
cana-673	222	8	.	.	PROPN
cana-673	223	1	2020	2020	NUM
cana-673	223	2	,	,	PUNCT
cana-673	223	3	art	art	NOUN
cana-673	223	4	.	.	PUNCT
cana-673	224	1	no	no	INTJ
cana-673	224	2	.	.	NOUN
cana-673	224	3	2054024	2054024	NUM
cana-673	224	4	.	.	PUNCT
cana-673	225	1	[	[	X
cana-673	225	2	2	2	NUM
cana-673	225	3	]	]	PUNCT
cana-673	225	4	a.	a.	NOUN
cana-673	225	5	mammeri	mammeri	NOUN
cana-673	225	6	,	,	PUNCT
cana-673	225	7	t.	t.	PROPN
cana-673	225	8	zuo	zuo	PROPN
cana-673	225	9	,	,	PUNCT
cana-673	225	10	and	and	CCONJ
cana-673	225	11	a.	a.	NOUN
cana-673	225	12	boukerche	boukerche	NOUN
cana-673	225	13	,	,	PUNCT
cana-673	225	14	“	"	PUNCT
cana-673	225	15	extending	extend	VERB
cana-673	225	16	the	the	DET
cana-673	225	17	detection	detection	NOUN
cana-673	225	18	range	range	NOUN
cana-673	225	19	of	of	ADP
cana-673	225	20	vision	vision	NOUN
cana-673	225	21	-	-	PUNCT
cana-673	225	22	based	base	VERB
cana-673	225	23	vehicular	vehicular	ADJ
cana-673	225	24	instrumentation	instrumentation	NOUN
cana-673	225	25	,	,	PUNCT
cana-673	225	26	”	"	PUNCT
cana-673	225	27	ieee	ieee	NOUN
cana-673	225	28	trans	tran	NOUN
cana-673	225	29	.	.	PUNCT
cana-673	226	1	instrum	instrum	PROPN
cana-673	226	2	.	.	PUNCT
cana-673	227	1	meas	meas	PROPN
cana-673	227	2	.	.	PUNCT
cana-673	228	1	,	,	PUNCT
cana-673	228	2	vol	vol	NOUN
cana-673	228	3	.	.	PROPN
cana-673	229	1	65	65	NUM
cana-673	229	2	,	,	PUNCT
cana-673	229	3	no	no	INTJ
cana-673	229	4	.	.	NOUN
cana-673	229	5	4	4	NUM
cana-673	229	6	,	,	PUNCT
cana-673	229	7	pp	pp	ADJ
cana-673	229	8	.	.	PUNCT
cana-673	230	1	856–873	856–873	NUM
cana-673	230	2	,	,	PUNCT
cana-673	230	3	apr	apr	NOUN
cana-673	230	4	.	.	PROPN
cana-673	230	5	2016	2016	NUM
cana-673	230	6	.	.	PUNCT
cana-673	231	1	[	[	X
cana-673	231	2	3	3	X
cana-673	231	3	]	]	X
cana-673	231	4	m.	m.	NOUN
cana-673	231	5	karaduman	karaduman	PROPN
cana-673	231	6	and	and	CCONJ
cana-673	231	7	h.	h.	PROPN
cana-673	231	8	eren	eren	PROPN
cana-673	231	9	,	,	PUNCT
cana-673	231	10	“	"	PUNCT
cana-673	231	11	smart	smart	ADJ
cana-673	231	12	driving	driving	NOUN
cana-673	231	13	in	in	ADP
cana-673	231	14	smart	smart	ADJ
cana-673	231	15	city	city	NOUN
cana-673	231	16	,	,	PUNCT
cana-673	231	17	”	"	PUNCT
cana-673	231	18	in	in	ADP
cana-673	231	19	proc	proc	NOUN
cana-673	231	20	.	.	PUNCT
cana-673	232	1	5th	5th	ADJ
cana-673	232	2	int	int	NOUN
cana-673	232	3	.	.	PUNCT
cana-673	233	1	istanbul	istanbul	PROPN
cana-673	233	2	smart	smart	ADJ
cana-673	233	3	grid	grid	PROPN
cana-673	233	4	cities	city	NOUN
cana-673	233	5	congr	congr	NOUN
cana-673	233	6	.	.	PUNCT
cana-673	234	1	fair	fair	ADJ
cana-673	234	2	(	(	PUNCT
cana-673	234	3	icsg	icsg	NOUN
cana-673	234	4	)	)	PUNCT
cana-673	234	5	,	,	PUNCT
cana-673	234	6	˙istanbul	˙istanbul	INTJ
cana-673	234	7	,	,	PUNCT
cana-673	234	8	turkey	turkey	PROPN
cana-673	234	9	,	,	PUNCT
cana-673	234	10	apr	apr	NOUN
cana-673	234	11	.	.	PROPN
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cana-673	234	13	,	,	PUNCT
cana-673	234	14	pp	pp	ADJ
cana-673	234	15	.	.	PUNCT
cana-673	235	1	115–119	115–119	NUM
cana-673	235	2	.	.	PUNCT
cana-673	236	1	[	[	X
cana-673	236	2	4	4	NUM
cana-673	236	3	]	]	X
cana-673	236	4	f.	f.	PROPN
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cana-673	236	6	,	,	PUNCT
cana-673	236	7	“	"	PUNCT
cana-673	236	8	self	self	NOUN
cana-673	236	9	-	-	PUNCT
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cana-673	236	12	:	:	PUNCT
cana-673	236	13	a	a	DET
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cana-673	236	15	perspective	perspective	NOUN
cana-673	236	16	,	,	PUNCT
cana-673	236	17	”	"	PUNCT
cana-673	236	18	sci	sci	PROPN
cana-673	236	19	.	.	PROPN
cana-673	236	20	robot	robot	PROPN
cana-673	236	21	.	.	PUNCT
cana-673	236	22	,	,	PUNCT
cana-673	236	23	vol	vol	NOUN
cana-673	236	24	.	.	PROPN
cana-673	236	25	4	4	NUM
cana-673	236	26	,	,	PUNCT
cana-673	236	27	no	no	INTJ
cana-673	236	28	.	.	NOUN
cana-673	236	29	28	28	NUM
cana-673	236	30	,	,	PUNCT
cana-673	236	31	mar	mar	PROPN
cana-673	236	32	.	.	PROPN
cana-673	236	33	2019	2019	NUM
cana-673	236	34	,	,	PUNCT
cana-673	236	35	art	art	NOUN
cana-673	236	36	.	.	PUNCT
cana-673	237	1	no	no	INTJ
cana-673	237	2	.	.	PUNCT
cana-673	238	1	eaav9843	eaav9843	PROPN
cana-673	238	2	,	,	PUNCT
cana-673	238	3	doi	doi	NOUN
cana-673	238	4	:	:	PUNCT
cana-673	238	5	10.1126	10.1126	NUM
cana-673	238	6	/	/	SYM
cana-673	238	7	scirobotics.aav9843	scirobotics.aav9843	NOUN
cana-673	238	8	.	.	PUNCT
cana-673	239	1	[	[	X
cana-673	239	2	5	5	X
cana-673	239	3	]	]	X
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cana-673	239	5	a.	a.	PROPN
cana-673	239	6	greenblatt	greenblatt	PROPN
cana-673	239	7	,	,	PUNCT
cana-673	239	8	“	"	PUNCT
cana-673	239	9	self	self	NOUN
cana-673	239	10	-	-	PUNCT
cana-673	239	11	driving	drive	VERB
cana-673	239	12	cars	car	NOUN
cana-673	239	13	and	and	CCONJ
cana-673	239	14	the	the	DET
cana-673	239	15	law	law	NOUN
cana-673	239	16	,	,	PUNCT
cana-673	239	17	”	"	PUNCT
cana-673	239	18	ieee	ieee	NOUN
cana-673	239	19	spectr	spectr	PROPN
cana-673	239	20	.	.	PUNCT
cana-673	239	21	,	,	PUNCT
cana-673	239	22	vol	vol	NOUN
cana-673	239	23	.	.	PROPN
cana-673	240	1	53	53	NUM
cana-673	240	2	,	,	PUNCT
cana-673	240	3	no	no	INTJ
cana-673	240	4	.	.	NOUN
cana-673	240	5	2	2	NUM
cana-673	240	6	,	,	PUNCT
cana-673	240	7	pp	pp	ADJ
cana-673	240	8	.	.	PUNCT
cana-673	241	1	46–51	46–51	NUM
cana-673	241	2	,	,	PUNCT
cana-673	241	3	feb	feb	PROPN
cana-673	241	4	.	.	PROPN
cana-673	241	5	2016	2016	NUM
cana-673	241	6	.	.	PUNCT
cana-673	242	1	[	[	X
cana-673	242	2	6	6	NUM
cana-673	242	3	]	]	PUNCT
cana-673	242	4	q.	q.	PROPN
cana-673	242	5	xu	xu	PROPN
cana-673	242	6	,	,	PUNCT
cana-673	242	7	m.	m.	PROPN
cana-673	242	8	wang	wang	PROPN
cana-673	242	9	,	,	PUNCT
cana-673	242	10	z.	z.	PROPN
cana-673	242	11	du	du	PROPN
cana-673	242	12	,	,	PUNCT
cana-673	242	13	and	and	CCONJ
cana-673	242	14	y.	y.	PROPN
cana-673	242	15	zhang	zhang	PROPN
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cana-673	242	17	“	"	PUNCT
cana-673	242	18	a	a	DET
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cana-673	242	24	based	base	VERB
cana-673	242	25	on	on	ADP
cana-673	242	26	map	map	NOUN
cana-673	242	27	-	-	PUNCT
cana-673	242	28	matching	matching	ADJ
cana-673	242	29	and	and	CCONJ
cana-673	242	30	environmental	environmental	ADJ
cana-673	242	31	perception	perception	NOUN
cana-673	242	32	,	,	PUNCT
cana-673	242	33	”	"	PUNCT
cana-673	242	34	in	in	ADP
cana-673	242	35	proc	proc	NOUN
cana-673	242	36	.	.	PUNCT
cana-673	243	1	33rd	33rd	ADJ
cana-673	243	2	chin	chin	PROPN
cana-673	243	3	.	.	PUNCT
cana-673	243	4	control	control	PROPN
cana-673	243	5	conf	conf	PROPN
cana-673	243	6	.	.	PUNCT
cana-673	243	7	(	(	PUNCT
cana-673	243	8	ccc	ccc	PROPN
cana-673	243	9	)	)	PUNCT
cana-673	243	10	,	,	PUNCT
cana-673	243	11	nanjing	nanjing	PROPN
cana-673	243	12	,	,	PUNCT
cana-673	243	13	china	china	PROPN
cana-673	243	14	,	,	PUNCT
cana-673	243	15	jul	jul	PROPN
cana-673	243	16	.	.	PROPN
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cana-673	243	18	,	,	PUNCT
cana-673	243	19	pp	pp	ADP
cana-673	243	20	.	.	PUNCT
cana-673	244	1	707–712	707–712	NUM
cana-673	244	2	.	.	PUNCT
cana-673	245	1	[	[	X
cana-673	245	2	7	7	X
cana-673	245	3	]	]	PUNCT
cana-673	245	4	q.	q.	PROPN
cana-673	245	5	zou	zou	PROPN
cana-673	245	6	,	,	PUNCT
cana-673	245	7	h.	h.	PROPN
cana-673	245	8	jiang	jiang	PROPN
cana-673	245	9	,	,	PUNCT
cana-673	245	10	q.	q.	PROPN
cana-673	245	11	dai	dai	PROPN
cana-673	245	12	,	,	PUNCT
cana-673	245	13	y.	y.	PROPN
cana-673	245	14	yue	yue	PROPN
cana-673	245	15	,	,	PUNCT
cana-673	245	16	l.	l.	PROPN
cana-673	245	17	chen	chen	PROPN
cana-673	245	18	,	,	PUNCT
cana-673	245	19	and	and	CCONJ
cana-673	245	20	q.	q.	PROPN
cana-673	245	21	wang	wang	PROPN
cana-673	245	22	,	,	PUNCT
cana-673	245	23	“	"	PUNCT
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cana-673	245	25	lane	lane	NOUN
cana-673	245	26	detection	detection	NOUN
cana-673	245	27	from	from	ADP
cana-673	245	28	continuous	continuous	ADJ
cana-673	245	29	driving	driving	NOUN
cana-673	245	30	scenes	scene	NOUN
cana-673	245	31	using	use	VERB
cana-673	245	32	deep	deep	ADJ
cana-673	245	33	neural	neural	ADJ
cana-673	245	34	networks	network	NOUN
cana-673	245	35	,	,	PUNCT
cana-673	245	36	”	"	PUNCT
cana-673	245	37	ieee	ieee	NOUN
cana-673	245	38	trans	trans	PROPN
cana-673	245	39	.	.	PUNCT
cana-673	246	1	veh	veh	PROPN
cana-673	246	2	.	.	PROPN
cana-673	246	3	technol	technol	PROPN
cana-673	246	4	.	.	PROPN
cana-673	246	5	,	,	PUNCT
cana-673	246	6	vol	vol	NOUN
cana-673	246	7	.	.	PROPN
cana-673	247	1	69	69	NUM
cana-673	247	2	,	,	PUNCT
cana-673	247	3	no	no	INTJ
cana-673	247	4	.	.	NOUN
cana-673	247	5	1	1	NUM
cana-673	247	6	,	,	PUNCT
cana-673	247	7	pp	pp	ADJ
cana-673	247	8	.	.	PUNCT
cana-673	248	1	41–54	41–54	NUM
cana-673	248	2	,	,	PUNCT
cana-673	248	3	jan	jan	PROPN
cana-673	248	4	.	.	PROPN
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cana-673	248	6	.	.	PUNCT
cana-673	249	1	[	[	X
cana-673	249	2	8	8	NUM
cana-673	249	3	]	]	X
cana-673	249	4	y.	y.	PROPN
cana-673	249	5	parmar	parmar	PROPN
cana-673	249	6	,	,	PUNCT
cana-673	249	7	s.	s.	PROPN
cana-673	249	8	natarajan	natarajan	PROPN
cana-673	249	9	,	,	PUNCT
cana-673	249	10	and	and	CCONJ
cana-673	249	11	g.	g.	PROPN
cana-673	249	12	sobha	sobha	PROPN
cana-673	249	13	,	,	PUNCT
cana-673	249	14	“	"	PUNCT
cana-673	249	15	deeprange	deeprange	ADJ
cana-673	249	16	:	:	PUNCT
cana-673	249	17	deep	deep	ADJ
cana-673	249	18	-	-	PUNCT
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cana-673	249	20	object	object	NOUN
cana-673	249	21	detection	detection	NOUN
cana-673	249	22	and	and	CCONJ
cana-673	249	23	ranging	range	VERB
cana-673	249	24	in	in	ADP
cana-673	249	25	autonomous	autonomous	ADJ
cana-673	249	26	driving	driving	NOUN
cana-673	249	27	,	,	PUNCT
cana-673	249	28	”	"	PUNCT
cana-673	249	29	iet	iet	PROPN
cana-673	249	30	intell	intell	PROPN
cana-673	249	31	.	.	PUNCT
cana-673	250	1	transp	transp	PROPN
cana-673	250	2	.	.	PUNCT
cana-673	251	1	syst	syst	PROPN
cana-673	251	2	.	.	PUNCT
cana-673	251	3	,	,	PUNCT
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cana-673	251	5	.	.	PROPN
cana-673	251	6	13	13	NUM
cana-673	251	7	,	,	PUNCT
cana-673	251	8	no	no	INTJ
cana-673	251	9	.	.	NOUN
cana-673	251	10	8	8	NUM
cana-673	251	11	,	,	PUNCT
cana-673	251	12	pp	pp	ADJ
cana-673	251	13	.	.	PUNCT
cana-673	252	1	1256–1264	1256–1264	NUM
cana-673	252	2	,	,	PUNCT
cana-673	252	3	aug	aug	PROPN
cana-673	252	4	.	.	PROPN
cana-673	252	5	2019	2019	NUM
cana-673	252	6	.	.	PUNCT
cana-673	253	1	[	[	X
cana-673	253	2	9	9	NUM
cana-673	253	3	]	]	X
cana-673	253	4	j.-r	j.-r	PROPN
cana-673	253	5	.	.	PUNCT
cana-673	254	1	xue	xue	PROPN
cana-673	254	2	,	,	PUNCT
cana-673	254	3	j.-w	j.-w	PROPN
cana-673	254	4	.	.	PUNCT
cana-673	254	5	fang	fang	PROPN
cana-673	254	6	,	,	PUNCT
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cana-673	254	8	p.	p.	PROPN
cana-673	254	9	zhang	zhang	PROPN
cana-673	254	10	,	,	PUNCT
cana-673	254	11	“	"	PUNCT
cana-673	254	12	a	a	DET
cana-673	254	13	survey	survey	NOUN
cana-673	254	14	of	of	ADP
cana-673	254	15	scene	scene	NOUN
cana-673	254	16	understanding	understanding	NOUN
cana-673	254	17	by	by	ADP
cana-673	254	18	event	event	NOUN
cana-673	254	19	reasoning	reasoning	NOUN
cana-673	254	20	in	in	ADP
cana-673	254	21	autonomous	autonomous	ADJ
cana-673	254	22	driving	driving	NOUN
cana-673	254	23	,	,	PUNCT
cana-673	254	24	”	"	PUNCT
cana-673	254	25	int	int	NOUN
cana-673	254	26	.	.	PUNCT
cana-673	255	1	j.	j.	PROPN
cana-673	255	2	autom	autom	PROPN
cana-673	255	3	.	.	PUNCT
cana-673	256	1	comput	comput	PROPN
cana-673	256	2	.	.	PUNCT
cana-673	256	3	,	,	PUNCT
cana-673	256	4	vol	vol	NOUN
cana-673	256	5	.	.	PROPN
cana-673	256	6	15	15	NUM
cana-673	256	7	,	,	PUNCT
cana-673	256	8	no	no	INTJ
cana-673	256	9	.	.	NOUN
cana-673	256	10	3	3	NUM
cana-673	256	11	,	,	PUNCT
cana-673	256	12	pp	pp	ADJ
cana-673	256	13	.	.	PUNCT
cana-673	257	1	249–266	249–266	NUM
cana-673	257	2	,	,	PUNCT
cana-673	257	3	2018	2018	NUM
cana-673	257	4	.	.	PUNCT
cana-673	258	1	[	[	X
cana-673	258	2	10	10	NUM
cana-673	258	3	]	]	X
cana-673	258	4	y.	y.	PROPN
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cana-673	258	6	,	,	PUNCT
cana-673	258	7	f.	f.	PROPN
cana-673	258	8	chen	chen	PROPN
cana-673	258	9	,	,	PUNCT
cana-673	258	10	f.	f.	PROPN
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cana-673	258	12	,	,	PUNCT
cana-673	258	13	d.	d.	PROPN
cana-673	258	14	zeng	zeng	PROPN
cana-673	258	15	,	,	PUNCT
cana-673	258	16	y.-m	y.-m	PROPN
cana-673	258	17	.	.	PUNCT
cana-673	259	1	ji	ji	PROPN
cana-673	259	2	,	,	PUNCT
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cana-673	259	4	x.-y	x.-y	NOUN
cana-673	259	5	.	.	PUNCT
cana-673	260	1	jing	jing	ADJ
cana-673	260	2	,	,	PUNCT
cana-673	260	3	“	"	PUNCT
cana-673	260	4	multi	multi	ADJ
cana-673	260	5	-	-	ADJ
cana-673	260	6	view	view	ADJ
cana-673	260	7	semantic	semantic	ADJ
cana-673	260	8	learning	learning	NOUN
cana-673	260	9	network	network	NOUN
cana-673	260	10	for	for	ADP
cana-673	260	11	point	point	NOUN
cana-673	260	12	cloud	cloud	NOUN
cana-673	260	13	based	base	VERB
cana-673	260	14	3d	3d	NUM
cana-673	260	15	object	object	NOUN
cana-673	260	16	detection	detection	NOUN
cana-673	260	17	,	,	PUNCT
cana-673	260	18	”	"	PUNCT
cana-673	260	19	neurocomputing	neurocomputing	NOUN
cana-673	260	20	,	,	PUNCT
cana-673	260	21	vol	vol	NOUN
cana-673	260	22	.	.	PROPN
cana-673	260	23	397	397	NUM
cana-673	260	24	,	,	PUNCT
cana-673	260	25	pp	pp	ADJ
cana-673	260	26	.	.	PUNCT
cana-673	261	1	477–485	477–485	NUM
cana-673	261	2	,	,	PUNCT
cana-673	261	3	jul	jul	PROPN
cana-673	261	4	.	.	PROPN
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cana-673	261	6	.	.	PUNCT
cana-673	262	1	[	[	X
cana-673	262	2	11	11	NUM
cana-673	262	3	]	]	PUNCT
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cana-673	262	7	g.	g.	PROPN
cana-673	262	8	srivastava	srivastava	PROPN
cana-673	262	9	,	,	PUNCT
cana-673	262	10	“	"	PUNCT
cana-673	262	11	automatic	automatic	ADJ
cana-673	262	12	recognition	recognition	NOUN
cana-673	262	13	algorithm	algorithm	NOUN
cana-673	262	14	of	of	ADP
cana-673	262	15	traffic	traffic	NOUN
cana-673	262	16	signs	sign	NOUN
cana-673	262	17	based	base	VERB
cana-673	262	18	on	on	ADP
cana-673	262	19	convolution	convolution	NOUN
cana-673	262	20	neural	neural	ADJ
cana-673	262	21	network	network	NOUN
cana-673	262	22	,	,	PUNCT
cana-673	262	23	”	"	PUNCT
cana-673	262	24	multimedia	multimedia	NOUN
cana-673	262	25	tools	tool	NOUN
cana-673	262	26	appl	appl	NOUN
cana-673	262	27	.	.	PUNCT
cana-673	262	28	,	,	PUNCT
cana-673	262	29	vol	vol	NOUN
cana-673	262	30	.	.	PROPN
cana-673	262	31	79	79	NUM
cana-673	262	32	,	,	PUNCT
cana-673	262	33	nos	nos	PROPN
cana-673	262	34	.	.	PROPN
cana-673	262	35	17–18	17–18	NUM
cana-673	262	36	,	,	PUNCT
cana-673	262	37	pp	pp	ADJ
cana-673	262	38	.	.	PUNCT
cana-673	263	1	11551–11565	11551–11565	NUM
cana-673	263	2	,	,	PUNCT
cana-673	263	3	may	may	AUX
cana-673	263	4	2020	2020	NUM
cana-673	263	5	.	.	PUNCT
cana-673	264	1	[	[	X
cana-673	264	2	12	12	NUM
cana-673	264	3	]	]	X
cana-673	264	4	perumal	perumal	NOUN
cana-673	264	5	,	,	PUNCT
cana-673	264	6	p.s	p.s	PROPN
cana-673	264	7	.	.	PROPN
cana-673	264	8	;	;	PUNCT
cana-673	264	9	sujasree	sujasree	NOUN
cana-673	264	10	,	,	PUNCT
cana-673	264	11	m.	m.	NOUN
cana-673	264	12	;	;	PUNCT
cana-673	264	13	chavhan	chavhan	ADV
cana-673	264	14	,	,	PUNCT
cana-673	264	15	s.	s.	PROPN
cana-673	264	16	;	;	PUNCT
cana-673	264	17	gupta	gupta	PROPN
cana-673	264	18	,	,	PUNCT
cana-673	264	19	d.	d.	PROPN
cana-673	264	20	;	;	PUNCT
cana-673	264	21	mukthineni	mukthineni	ADJ
cana-673	264	22	,	,	PUNCT
cana-673	264	23	v.	v.	PROPN
cana-673	264	24	;	;	PUNCT
cana-673	264	25	shimgekar	shimgekar	PROPN
cana-673	264	26	,	,	PUNCT
cana-673	264	27	s.r	s.r	PROPN
cana-673	264	28	.	.	PROPN
cana-673	264	29	;	;	PUNCT
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cana-673	264	31	,	,	PUNCT
cana-673	264	32	a.	a.	PROPN
cana-673	264	33	;	;	PUNCT
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cana-673	264	35	,	,	PUNCT
cana-673	264	36	g.	g.	PROPN
cana-673	264	37	an	an	DET
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cana-673	264	39	into	into	ADP
cana-673	264	40	crash	crash	NOUN
cana-673	264	41	avoidance	avoidance	NOUN
cana-673	264	42	and	and	CCONJ
cana-673	264	43	overtaking	overtake	VERB
cana-673	264	44	advice	advice	NOUN
cana-673	264	45	systems	system	NOUN
cana-673	264	46	for	for	ADP
cana-673	264	47	autonomous	autonomous	ADJ
cana-673	264	48	vehicles	vehicle	NOUN
cana-673	264	49	:	:	PUNCT
cana-673	264	50	a	a	DET
cana-673	264	51	review	review	NOUN
cana-673	264	52	,	,	PUNCT
cana-673	264	53	challenges	challenge	NOUN
cana-673	264	54	and	and	CCONJ
cana-673	264	55	solutions	solution	NOUN
cana-673	264	56	.	.	PUNCT
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cana-673	265	2	.	.	PROPN
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cana-673	265	4	.	.	PUNCT
cana-673	266	1	artif	artif	PROPN
cana-673	266	2	.	.	PUNCT
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cana-673	267	2	.	.	PUNCT
cana-673	268	1	2021	2021	NUM
cana-673	268	2	,	,	PUNCT
cana-673	268	3	104	104	NUM
cana-673	268	4	,	,	PUNCT
cana-673	268	5	104406	104406	NUM
cana-673	268	6	.	.	PUNCT
cana-673	269	1	[	[	X
cana-673	269	2	13	13	NUM
cana-673	269	3	]	]	PUNCT
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cana-673	269	5	,	,	PUNCT
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cana-673	269	8	;	;	PUNCT
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cana-673	269	10	,	,	PUNCT
cana-673	269	11	j.m	j.m	PROPN
cana-673	269	12	.	.	PROPN
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cana-673	269	14	driving	driving	NOUN
cana-673	269	15	architectures	architecture	NOUN
cana-673	269	16	:	:	PUNCT
cana-673	269	17	insights	insight	NOUN
cana-673	269	18	of	of	ADP
cana-673	269	19	machine	machine	NOUN
cana-673	269	20	learning	learning	NOUN
cana-673	269	21	and	and	CCONJ
cana-673	269	22	deep	deep	ADJ
cana-673	269	23	learning	learning	NOUN
cana-673	269	24	algorithms.mach	algorithms.mach	VERB
cana-673	269	25	.	.	PUNCT
cana-673	270	1	learn	learn	VERB
cana-673	270	2	.	.	PUNCT
cana-673	271	1	appl	appl	PROPN
cana-673	271	2	.	.	PROPN
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cana-673	271	4	,	,	PUNCT
cana-673	271	5	6	6	NUM
cana-673	271	6	,	,	PUNCT
cana-673	271	7	100164	100164	NUM
cana-673	271	8	.	.	PUNCT
cana-673	272	1	[	[	X
cana-673	272	2	14	14	NUM
cana-673	272	3	]	]	X
cana-673	272	4	al	al	PROPN
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cana-673	272	7	,	,	PUNCT
cana-673	272	8	g.	g.	PROPN
cana-673	272	9	;	;	PUNCT
cana-673	272	10	al	al	PROPN
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cana-673	272	13	,	,	PUNCT
cana-673	272	14	m.	m.	NOUN
cana-673	272	15	road	road	NOUN
cana-673	272	16	object	object	NOUN
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cana-673	272	18	using	use	VERB
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cana-673	272	20	and	and	CCONJ
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cana-673	273	1	int	int	NOUN
cana-673	273	2	.	.	PUNCT
cana-673	274	1	j.	j.	PROPN
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cana-673	275	2	.	.	PUNCT
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cana-673	276	2	.	.	PUNCT
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cana-673	276	4	.	.	PUNCT
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cana-673	277	2	,	,	PUNCT
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cana-673	277	4	,	,	PUNCT
cana-673	277	5	1–7	1–7	X
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cana-673	278	1	[	[	X
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cana-673	278	10	,	,	PUNCT
cana-673	278	11	m.	m.	NOUN
cana-673	278	12	;	;	PUNCT
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cana-673	280	5	17th	17th	ADJ
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cana-673	280	8	on	on	ADP
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cana-673	280	12	for	for	ADP
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cana-673	280	14	and	and	CCONJ
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cana-673	280	17	,	,	PUNCT
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cana-673	280	25	;	;	PUNCT
cana-673	280	26	pp	pp	X
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cana-673	281	2	.	.	PUNCT
cana-673	282	1	[	[	X
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cana-673	282	11	.	.	PROPN
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cana-673	282	14	of	of	ADP
cana-673	282	15	traffic	traffic	NOUN
cana-673	282	16	characteristics	characteristic	NOUN
cana-673	282	17	on	on	ADP
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cana-673	282	19	road	road	NOUN
cana-673	282	20	scenarios	scenario	NOUN
cana-673	282	21	in	in	ADP
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cana-673	284	2	.	.	PUNCT
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cana-673	285	2	.	.	PUNCT
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cana-673	286	2	.	.	PUNCT
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cana-673	287	2	,	,	PUNCT
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cana-673	288	5	,	,	PUNCT
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cana-673	288	14	:	:	PUNCT
cana-673	288	15	using	use	VERB
cana-673	288	16	thermal	thermal	ADJ
cana-673	288	17	infrared	infrared	ADJ
cana-673	288	18	imaging	imaging	NOUN
cana-673	288	19	and	and	CCONJ
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cana-673	288	21	physiological	physiological	ADJ
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cana-673	288	23	.	.	PUNCT
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cana-673	289	2	.	.	PUNCT
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cana-673	290	5	.	.	PUNCT
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cana-673	291	2	.	.	PUNCT
cana-673	292	1	syst	syst	PROPN
cana-673	292	2	.	.	PUNCT
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cana-673	293	2	,	,	PUNCT
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cana-673	293	4	,	,	PUNCT
cana-673	293	5	232–241	232–241	NUM
cana-673	293	6	.	.	PUNCT
cana-673	294	1	[	[	X
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cana-673	294	18	networks	network	NOUN
cana-673	294	19	for	for	ADP
cana-673	294	20	pedestrian	pedestrian	NOUN
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cana-673	294	22	,	,	PUNCT
cana-673	294	23	”	"	PUNCT
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cana-673	294	26	.	.	PUNCT
cana-673	295	1	transp	transp	PROPN
cana-673	295	2	.	.	PUNCT
cana-673	296	1	syst	syst	PROPN
cana-673	296	2	.	.	PUNCT
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cana-673	296	7	,	,	PUNCT
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cana-673	296	10	9	9	NUM
cana-673	296	11	,	,	PUNCT
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cana-673	296	13	.	.	PUNCT
cana-673	297	1	1319–1328	1319–1328	NUM
cana-673	297	2	,	,	PUNCT
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cana-673	298	1	[	[	X
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cana-673	299	29	.	.	PUNCT
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cana-673	300	2	,	,	PUNCT
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cana-673	300	6	.	.	PUNCT
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cana-673	301	7	:	:	PUNCT
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cana-673	301	9	-	-	PUNCT
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cana-673	301	14	.	.	PUNCT
cana-673	302	1	2s	2s	NUM
cana-673	302	2	(	(	PUNCT
cana-673	302	3	2024	2024	NUM
cana-673	302	4	)	)	PUNCT
cana-673	302	5	605	605	NUM
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cana-673	303	1	[	[	X
cana-673	303	2	20	20	NUM
cana-673	303	3	]	]	PUNCT
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cana-673	303	19	,	,	PUNCT
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cana-673	303	22	combined	combined	ADJ
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cana-673	303	25	texture	texture	NOUN
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cana-673	303	34	image	image	NOUN
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cana-673	303	36	”	"	PUNCT
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cana-673	303	38	.	.	PUNCT
cana-673	304	1	j.	j.	PROPN
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cana-673	304	4	.	.	PUNCT
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cana-673	304	8	.	.	PUNCT
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cana-673	305	3	.	.	PUNCT
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cana-673	306	5	,	,	PUNCT
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cana-673	306	11	.	.	PUNCT
cana-673	307	1	287–302	287–302	NUM
cana-673	307	2	,	,	PUNCT
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cana-673	307	4	.	.	PROPN
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cana-673	307	6	.	.	PUNCT
cana-673	308	1	[	[	X
cana-673	308	2	21	21	NUM
cana-673	308	3	]	]	X
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cana-673	308	10	“	"	PUNCT
cana-673	308	11	a	a	DET
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cana-673	308	19	,	,	PUNCT
cana-673	308	20	”	"	PUNCT
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cana-673	308	22	.	.	PUNCT
cana-673	309	1	vis	vis	X
cana-673	309	2	.	.	PUNCT
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cana-673	309	5	.	.	PUNCT
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cana-673	309	8	.	.	PROPN
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cana-673	310	2	,	,	PUNCT
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cana-673	310	6	,	,	PUNCT
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cana-673	311	5	.	.	PUNCT
cana-673	312	1	[	[	X
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cana-673	312	3	]	]	PUNCT
cana-673	312	4	s.	s.	PROPN
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cana-673	312	20	-	-	PUNCT
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cana-673	312	33	,	,	PUNCT
cana-673	312	34	”	"	PUNCT
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cana-673	316	2	,	,	PUNCT
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cana-673	316	8	.	.	PUNCT
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cana-673	317	2	,	,	PUNCT
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cana-673	318	3	]	]	PUNCT
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cana-673	321	2	,	,	PUNCT
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cana-673	321	14	-	-	PUNCT
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cana-673	323	11	,	,	PUNCT
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cana-673	327	1	[	[	X
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cana-673	327	14	“	"	PUNCT
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cana-673	327	18	:	:	PUNCT
cana-673	327	19	googlenet	googlenet	NOUN
cana-673	327	20	based	base	VERB
cana-673	327	21	multistage	multistage	NOUN
cana-673	327	22	feature	feature	NOUN
cana-673	327	23	fusion	fusion	NOUN
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cana-673	327	25	deep	deep	ADJ
cana-673	327	26	cnn	cnn	PROPN
cana-673	327	27	for	for	ADP
cana-673	327	28	scene	scene	NOUN
cana-673	327	29	recognition	recognition	NOUN
cana-673	327	30	,	,	PUNCT
cana-673	327	31	”	"	PUNCT
cana-673	327	32	neurocomputing	neurocomputing	NOUN
cana-673	327	33	,	,	PUNCT
cana-673	327	34	vol	vol	NOUN
cana-673	327	35	.	.	NOUN
cana-673	327	36	225	225	NUM
cana-673	327	37	,	,	PUNCT
cana-673	327	38	pp	pp	ADJ
cana-673	327	39	.	.	PUNCT
cana-673	328	1	188–197	188–197	NUM
cana-673	328	2	,	,	PUNCT
cana-673	328	3	feb	feb	PROPN
cana-673	328	4	.	.	PROPN
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cana-673	328	6	.	.	PUNCT
cana-673	329	1	[	[	X
cana-673	329	2	28	28	NUM
cana-673	329	3	]	]	X
cana-673	329	4	l.	l.	PROPN
cana-673	329	5	wang	wang	PROPN
cana-673	329	6	,	,	PUNCT
cana-673	329	7	s.	s.	PROPN
cana-673	329	8	guo	guo	PROPN
cana-673	329	9	,	,	PUNCT
cana-673	329	10	w.	w.	PROPN
cana-673	329	11	huang	huang	PROPN
cana-673	329	12	,	,	PUNCT
cana-673	329	13	y.	y.	PROPN
cana-673	329	14	xiong	xiong	PROPN
cana-673	329	15	,	,	PUNCT
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cana-673	329	18	qiao	qiao	PROPN
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cana-673	329	20	“	"	PUNCT
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cana-673	329	28	scene	scene	NOUN
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cana-673	329	30	with	with	ADP
cana-673	329	31	multi	multi	ADJ
cana-673	329	32	-	-	ADJ
cana-673	329	33	resolution	resolution	ADJ
cana-673	329	34	cnns	cnn	NOUN
cana-673	329	35	,	,	PUNCT
cana-673	329	36	”	"	PUNCT
cana-673	329	37	ieee	ieee	NOUN
cana-673	329	38	trans	trans	PROPN
cana-673	329	39	.	.	PUNCT
cana-673	329	40	image	image	NOUN
cana-673	329	41	process	process	NOUN
cana-673	329	42	.	.	PUNCT
cana-673	329	43	,	,	PUNCT
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cana-673	329	45	.	.	PROPN
cana-673	329	46	26	26	NUM
cana-673	329	47	,	,	PUNCT
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cana-673	329	50	4	4	NUM
cana-673	329	51	,	,	PUNCT
cana-673	329	52	pp	pp	ADJ
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cana-673	330	2	,	,	PUNCT
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cana-673	330	6	.	.	PUNCT
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cana-673	331	2	29	29	NUM
cana-673	331	3	]	]	X
cana-673	331	4	f.	f.	PROPN
cana-673	331	5	yu	yu	PROPN
cana-673	331	6	,	,	PUNCT
cana-673	331	7	h.	h.	PROPN
cana-673	331	8	chen	chen	PROPN
cana-673	331	9	,	,	PUNCT
cana-673	331	10	x.	x.	PROPN
cana-673	331	11	wang	wang	PROPN
cana-673	331	12	,	,	PUNCT
cana-673	331	13	w.	w.	PROPN
cana-673	331	14	xian	xian	PROPN
cana-673	331	15	,	,	PUNCT
cana-673	331	16	y.	y.	PROPN
cana-673	331	17	chen	chen	PROPN
cana-673	331	18	,	,	PUNCT
cana-673	331	19	f.	f.	PROPN
cana-673	331	20	liu	liu	PROPN
cana-673	331	21	,	,	PUNCT
cana-673	331	22	v.	v.	PROPN
cana-673	331	23	madhavan	madhavan	PROPN
cana-673	331	24	,	,	PUNCT
cana-673	331	25	and	and	CCONJ
cana-673	331	26	t.	t.	PROPN
cana-673	331	27	darrell	darrell	PROPN
cana-673	331	28	.	.	PUNCT
cana-673	332	1	bdd100k	bdd100k	X
cana-673	332	2	:	:	PUNCT
cana-673	332	3	a	a	DET
cana-673	332	4	diverse	diverse	ADJ
cana-673	332	5	driving	driving	NOUN
cana-673	332	6	dataset	dataset	NOUN
cana-673	332	7	for	for	ADP
cana-673	332	8	heterogeneous	heterogeneous	ADJ
cana-673	332	9	multitask	multitask	ADJ
cana-673	332	10	learning	learning	NOUN
cana-673	332	11	.	.	PUNCT
cana-673	333	1	in	in	ADP
cana-673	333	2	proceedings	proceeding	NOUN
cana-673	333	3	of	of	ADP
cana-673	333	4	the	the	DET
cana-673	333	5	ieee	ieee	NOUN
cana-673	333	6	/	/	SYM
cana-673	333	7	cvf	cvf	NOUN
cana-673	333	8	conference	conference	NOUN
cana-673	333	9	on	on	ADP
cana-673	333	10	computer	computer	NOUN
cana-673	333	11	vision	vision	NOUN
cana-673	333	12	and	and	CCONJ
cana-673	333	13	pattern	pattern	NOUN
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cana-673	333	16	pp	pp	PROPN
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cana-673	333	19	,	,	PUNCT
cana-673	333	20	2020	2020	NUM
cana-673	333	21	[	[	X
cana-673	333	22	30	30	NUM
cana-673	333	23	]	]	PUNCT
cana-673	333	24	s.	s.	PROPN
cana-673	333	25	goferman	goferman	PROPN
cana-673	333	26	,	,	PUNCT
cana-673	333	27	l.	l.	PROPN
cana-673	333	28	zelnik	zelnik	PROPN
cana-673	333	29	-	-	PUNCT
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cana-673	333	31	,	,	PUNCT
cana-673	333	32	and	and	CCONJ
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cana-673	333	34	tal	tal	PROPN
cana-673	333	35	,	,	PUNCT
cana-673	333	36	“	"	PUNCT
cana-673	333	37	context	context	NOUN
cana-673	333	38	-	-	PUNCT
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cana-673	333	40	saliency	saliency	NOUN
cana-673	333	41	detection	detection	NOUN
cana-673	333	42	,	,	PUNCT
cana-673	333	43	”	"	PUNCT
cana-673	333	44	ieee	ieee	NOUN
cana-673	333	45	transactions	transaction	NOUN
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cana-673	333	47	pattern	pattern	NOUN
cana-673	333	48	analysis	analysis	NOUN
cana-673	333	49	and	and	CCONJ
cana-673	333	50	machine	machine	NOUN
cana-673	333	51	intelligence	intelligence	NOUN
cana-673	333	52	,	,	PUNCT
cana-673	333	53	vol	vol	NOUN
cana-673	333	54	.	.	PROPN
cana-673	334	1	34	34	NUM
cana-673	334	2	,	,	PUNCT
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cana-673	334	4	.	.	NOUN
cana-673	334	5	10	10	NUM
cana-673	334	6	,	,	PUNCT
cana-673	334	7	pp	pp	ADJ
cana-673	334	8	.	.	PUNCT
cana-673	335	1	1915–1926	1915–1926	NUM
cana-673	335	2	,	,	PUNCT
cana-673	335	3	2012	2012	NUM
cana-673	335	4	.	.	PUNCT
cana-673	336	1	[	[	X
cana-673	336	2	31	31	NUM
cana-673	336	3	]	]	PUNCT
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cana-673	336	9	,	,	PUNCT
cana-673	336	10	“	"	PUNCT
cana-673	336	11	a	a	DET
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cana-673	336	13	of	of	ADP
cana-673	336	14	autonomous	autonomous	ADJ
cana-673	336	15	vehicle	vehicle	NOUN
cana-673	336	16	handover	handover	NOUN
cana-673	336	17	situations	situation	NOUN
cana-673	336	18	,	,	PUNCT
cana-673	336	19	”	"	PUNCT
cana-673	336	20	transp	transp	PROPN
cana-673	336	21	.	.	PUNCT
cana-673	337	1	res	re	NOUN
cana-673	337	2	.	.	PUNCT
cana-673	338	1	a	a	DET
cana-673	338	2	,	,	PUNCT
cana-673	338	3	policy	policy	NOUN
cana-673	338	4	pract	pract	NOUN
cana-673	338	5	.	.	PUNCT
cana-673	339	1	,	,	PUNCT
cana-673	339	2	vol	vol	NOUN
cana-673	339	3	.	.	PROPN
cana-673	339	4	124	124	NUM
cana-673	339	5	,	,	PUNCT
cana-673	339	6	pp	pp	ADJ
cana-673	339	7	.	.	PUNCT
cana-673	340	1	507–522	507–522	NUM
cana-673	340	2	,	,	PUNCT
cana-673	340	3	jun	jun	PROPN
cana-673	340	4	.	.	PROPN
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cana-673	340	6	.	.	PUNCT
cana-673	341	1	[	[	X
cana-673	341	2	32	32	NUM
cana-673	341	3	]	]	X
cana-673	341	4	c.	c.	NOUN
cana-673	341	5	szegedy	szegedy	VERB
cana-673	341	6	et	et	PROPN
cana-673	341	7	al	al	PROPN
cana-673	341	8	.	.	PROPN
cana-673	341	9	,	,	PUNCT
cana-673	341	10	“	"	PUNCT
cana-673	341	11	going	go	VERB
cana-673	341	12	deeper	deeply	ADV
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cana-673	341	15	,	,	PUNCT
cana-673	341	16	”	"	PUNCT
cana-673	341	17	in	in	ADP
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cana-673	341	19	.	.	PUNCT
cana-673	342	1	ieee	ieee	NOUN
cana-673	342	2	conf	conf	NOUN
cana-673	342	3	.	.	PUNCT
cana-673	343	1	comput	comput	NOUN
cana-673	343	2	.	.	PUNCT
cana-673	344	1	vis	vis	X
cana-673	344	2	.	.	X
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cana-673	344	4	recognit	recognit	VERB
cana-673	344	5	.	.	PUNCT
cana-673	345	1	(	(	PUNCT
cana-673	345	2	cvpr	cvpr	NOUN
cana-673	345	3	)	)	PUNCT
cana-673	345	4	,	,	PUNCT
cana-673	345	5	boston	boston	PROPN
cana-673	345	6	,	,	PUNCT
cana-673	345	7	ma	ma	PROPN
cana-673	345	8	,	,	PUNCT
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cana-673	345	10	,	,	PUNCT
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cana-673	345	16	.	.	PUNCT
cana-673	346	1	1–9	1–9	NOUN
cana-673	346	2	.	.	PUNCT
cana-673	347	1	[	[	X
cana-673	347	2	33	33	NUM
cana-673	347	3	]	]	X
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cana-673	347	11	raneem	raneem	PROPN
cana-673	347	12	qaddoura	qaddoura	PROPN
cana-673	347	13	,	,	PUNCT
cana-673	347	14	“	"	PUNCT
cana-673	347	15	an	an	DET
cana-673	347	16	object	object	NOUN
cana-673	347	17	classification	classification	NOUN
cana-673	347	18	approach	approach	NOUN
cana-673	347	19	for	for	ADP
cana-673	347	20	autonomous	autonomous	ADJ
cana-673	347	21	vehicles	vehicle	NOUN
cana-673	347	22	using	use	VERB
cana-673	347	23	machine	machine	NOUN
cana-673	347	24	learning	learning	NOUN
cana-673	347	25	techniques	technique	NOUN
cana-673	347	26	,	,	PUNCT
cana-673	347	27	”	"	PUNCT
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cana-673	347	30	vehicle	vehicle	NOUN
cana-673	347	31	journal	journal	NOUN
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cana-673	347	33	2023	2023	NUM
cana-673	347	34	,	,	PUNCT
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cana-673	347	36	,	,	PUNCT
cana-673	347	37	41	41	NUM
cana-673	347	38	.	.	PUNCT
cana-673	348	1	[	[	X
cana-673	348	2	34	34	NUM
cana-673	348	3	]	]	X
cana-673	348	4	sajjad	sajjad	PROPN
cana-673	348	5	ahmad	ahmad	PROPN
cana-673	348	6	khan	khan	PROPN
cana-673	348	7	,	,	PUNCT
cana-673	348	8	hyun	hyun	PROPN
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cana-673	348	10	lee	lee	PROPN
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cana-673	348	12	huhnkuk	huhnkuk	VERB
cana-673	348	13	,	,	PUNCT
cana-673	348	14	“	"	PUNCT
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cana-673	348	20	-	-	PUNCT
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cana-673	348	22	cars	car	NOUN
cana-673	348	23	using	use	VERB
cana-673	348	24	a	a	DET
cana-673	348	25	hybrid	hybrid	ADJ
cana-673	348	26	approach	approach	NOUN
cana-673	348	27	,	,	PUNCT
cana-673	348	28	”	"	PUNCT
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cana-673	348	30	,	,	PUNCT
cana-673	348	31	2023	2023	NUM
cana-673	348	32	,	,	PUNCT
cana-673	348	33	12	12	NUM
cana-673	348	34	,	,	PUNCT
cana-673	348	35	2768	2768	NUM
cana-673	348	36	.	.	PUNCT
cana-673	349	1	[	[	X
cana-673	349	2	35	35	NUM
cana-673	349	3	]	]	X
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cana-673	350	13	“	"	PUNCT
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cana-673	350	20	with	with	ADP
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cana-673	350	23	,	,	PUNCT
cana-673	350	24	”	"	PUNCT
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cana-673	350	29	2022	2022	NUM
cana-673	350	30	,	,	PUNCT
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cana-673	350	33	2022	2022	NUM
cana-673	350	34	,	,	PUNCT
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cana-673	351	1	[	[	X
cana-673	351	2	36	36	NUM
cana-673	351	3	]	]	X
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cana-673	351	5	ni	ni	PROPN
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cana-673	351	9	,	,	PUNCT
cana-673	351	10	yinan	yinan	PROPN
cana-673	351	11	chen	chen	PROPN
cana-673	351	12	,	,	PUNCT
cana-673	351	13	weidong	weidong	PROPN
cana-673	351	14	cao	cao	PROPN
cana-673	351	15	and	and	CCONJ
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cana-673	351	17	x.	x.	PROPN
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cana-673	351	19	,	,	PUNCT
cana-673	351	20	“	"	PUNCT
cana-673	351	21	an	an	DET
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cana-673	351	25	-	-	PUNCT
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cana-673	351	32	-	-	PUNCT
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cana-673	351	35	,	,	PUNCT
cana-673	351	36	”	"	PUNCT
cana-673	351	37	ieee	ieee	NOUN
cana-673	351	38	transaction	transaction	NOUN
cana-673	351	39	on	on	ADP
cana-673	351	40	instrumentation	instrumentation	NOUN
cana-673	351	41	and	and	CCONJ
cana-673	351	42	measurement	measurement	NOUN
cana-673	351	43	,	,	PUNCT
cana-673	351	44	2022	2022	NUM
cana-673	351	45	,	,	PUNCT
cana-673	351	46	vol	vol	NOUN
cana-673	351	47	.	.	PROPN
cana-673	351	48	71	71	NUM
cana-673	351	49	,	,	PUNCT
cana-673	351	50	5001614	5001614	NUM
cana-673	351	51	.	.	PUNCT
cana-673	352	1	[	[	X
cana-673	352	2	37	37	NUM
cana-673	352	3	]	]	X
cana-673	352	4	roman	roman	ADJ
cana-673	352	5	prykhodchenko	prykhodchenko	NOUN
cana-673	352	6	and	and	CCONJ
cana-673	352	7	pawal	pawal	PROPN
cana-673	352	8	skruch	skruch	PROPN
cana-673	352	9	,	,	PUNCT
cana-673	352	10	“	"	PUNCT
cana-673	352	11	road	road	NOUN
cana-673	352	12	scene	scene	NOUN
cana-673	352	13	classification	classification	NOUN
cana-673	352	14	based	base	VERB
cana-673	352	15	on	on	ADP
cana-673	352	16	street	street	NOUN
cana-673	352	17	-	-	PUNCT
cana-673	352	18	level	level	NOUN
cana-673	352	19	images	image	NOUN
cana-673	352	20	and	and	CCONJ
cana-673	352	21	spatial	spatial	ADJ
cana-673	352	22	data	datum	NOUN
cana-673	352	23	,	,	PUNCT
cana-673	352	24	”	"	PUNCT
cana-673	352	25	array	array	NOUN
cana-673	352	26	15	15	NUM
cana-673	352	27	,	,	PUNCT
cana-673	352	28	2022	2022	NUM
cana-673	352	29	,	,	PUNCT
cana-673	352	30	100195	100195	NUM
cana-673	352	31	.	.	PUNCT
cana-673	353	1	[	[	X
cana-673	353	2	38	38	NUM
cana-673	353	3	]	]	X
cana-673	353	4	jia	jia	PROPN
cana-673	353	5	x.	x.	PROPN
cana-673	353	6	,	,	PUNCT
cana-673	353	7	tong	tong	PROPN
cana-673	353	8	y.	y.	PROPN
cana-673	353	9	,	,	PUNCT
cana-673	353	10	qiao	qiao	PROPN
cana-673	353	11	h.	h.	PROPN
cana-673	353	12	,	,	PUNCT
cana-673	353	13	li	li	PROPN
cana-673	353	14	m.	m.	PROPN
cana-673	353	15	,	,	PUNCT
cana-673	353	16	tong	tong	PROPN
cana-673	353	17	j.	j.	PROPN
cana-673	353	18	and	and	CCONJ
cana-673	353	19	liang	liang	PROPN
cana-673	353	20	b.	b.	PROPN
cana-673	353	21	,	,	PUNCT
cana-673	353	22	“	"	PUNCT
cana-673	353	23	fast	fast	ADJ
cana-673	353	24	and	and	CCONJ
cana-673	353	25	accurate	accurate	ADJ
cana-673	353	26	object	object	NOUN
cana-673	353	27	detector	detector	NOUN
cana-673	353	28	for	for	ADP
cana-673	353	29	autonomous	autonomous	ADJ
cana-673	353	30	driving	driving	NOUN
cana-673	353	31	based	base	VERB
cana-673	353	32	on	on	ADP
cana-673	353	33	improved	improved	ADJ
cana-673	353	34	yolov5	yolov5	NOUN
cana-673	353	35	,	,	PUNCT
cana-673	353	36	”	"	PUNCT
cana-673	353	37	sci	sci	PROPN
cana-673	353	38	.	.	PROPN
cana-673	353	39	rep	rep	PROPN
cana-673	353	40	.	.	PROPN
cana-673	353	41	2023	2023	NUM
cana-673	353	42	,	,	PUNCT
cana-673	353	43	13	13	NUM
cana-673	353	44	,	,	PUNCT
cana-673	353	45	9711	9711	NUM
cana-673	353	46	.	.	PUNCT
cana-673	354	1	[	[	X
cana-673	354	2	39	39	NUM
cana-673	354	3	]	]	PUNCT
cana-673	354	4	mahadeo	mahadeo	PROPN
cana-673	354	5	d.	d.	PROPN
cana-673	354	6	narlawar	narlawar	PROPN
cana-673	354	7	and	and	CCONJ
cana-673	354	8	d.	d.	PROPN
cana-673	354	9	j.	j.	PROPN
cana-673	354	10	pete	pete	PROPN
cana-673	354	11	,	,	PUNCT
cana-673	354	12	“	"	PUNCT
cana-673	354	13	occluded	occlude	VERB
cana-673	354	14	face	face	NOUN
cana-673	354	15	recognition	recognition	NOUN
cana-673	354	16	:	:	PUNCT
cana-673	354	17	contrast	contrast	VERB
cana-673	354	18	correlation	correlation	NOUN
cana-673	354	19	&	&	CCONJ
cana-673	354	20	edge	edge	NOUN
cana-673	354	21	preserving	preserve	VERB
cana-673	354	22	enhancement	enhancement	NOUN
cana-673	354	23	based	base	VERB
cana-673	354	24	optimum	optimum	ADJ
cana-673	354	25	features	feature	NOUN
cana-673	354	26	on	on	ADP
cana-673	354	27	celeba	celeba	PROPN
cana-673	354	28	dataset	dataset	VERB
cana-673	354	29	,	,	PUNCT
cana-673	354	30	”	"	PUNCT
cana-673	354	31	journal	journal	NOUN
cana-673	354	32	of	of	ADP
cana-673	354	33	harbin	harbin	PROPN
cana-673	354	34	engineering	engineering	PROPN
cana-673	354	35	university	university	PROPN
cana-673	354	36	,	,	PUNCT
cana-673	354	37	2023	2023	NUM
cana-673	354	38	,	,	PUNCT
cana-673	354	39	vol	vol	NOUN
cana-673	354	40	.	.	PROPN
cana-673	354	41	44	44	NUM
cana-673	354	42	,	,	PUNCT
cana-673	354	43	no	no	INTJ
cana-673	354	44	.	.	NOUN
cana-673	354	45	8	8	NUM
cana-673	354	46	,	,	PUNCT
cana-673	354	47	pp	pp	ADJ
cana-673	354	48	.	.	PUNCT
cana-673	355	1	1192	1192	NUM
cana-673	355	2	-	-	SYM
cana-673	355	3	1204	1204	NUM
cana-673	355	4	.	.	PUNCT
cana-673	356	1	[	[	X
cana-673	356	2	40	40	NUM
cana-673	356	3	]	]	X
cana-673	356	4	thanh	thanh	PROPN
cana-673	356	5	,	,	PUNCT
cana-673	356	6	h.v.t	h.v.t	PROPN
cana-673	356	7	.	.	PROPN
cana-673	356	8	,	,	PUNCT
cana-673	356	9	ngoc	ngoc	PROPN
cana-673	356	10	,	,	PUNCT
cana-673	356	11	h.n	h.n	PROPN
cana-673	356	12	.	.	PROPN
cana-673	356	13	,	,	PUNCT
cana-673	356	14	duc	duc	PROPN
cana-673	356	15	,	,	PUNCT
cana-673	356	16	p.n	p.n	PROPN
cana-673	356	17	.	.	PROPN
cana-673	356	18	,	,	PUNCT
cana-673	356	19	"	"	PUNCT
cana-673	356	20	identifying	identify	VERB
cana-673	356	21	inverse	inverse	ADJ
cana-673	356	22	source	source	NOUN
cana-673	356	23	for	for	ADP
cana-673	356	24	diffusion	diffusion	NOUN
cana-673	356	25	equation	equation	NOUN
cana-673	356	26	with	with	ADP
cana-673	356	27	conformable	conformable	ADJ
cana-673	356	28	time	time	NOUN
cana-673	356	29	derivative	derivative	ADJ
cana-673	356	30	by	by	ADP
cana-673	356	31	fractional	fractional	ADJ
cana-673	356	32	"	"	PUNCT
cana-673	356	33	tikhonov	tikhonov	NOUN
cana-673	356	34	method	method	NOUN
cana-673	356	35	(	(	PUNCT
cana-673	356	36	2022	2022	NUM
cana-673	356	37	)	)	PUNCT
cana-673	356	38	advances	advance	NOUN
cana-673	356	39	in	in	ADP
cana-673	356	40	the	the	DET
cana-673	356	41	theory	theory	NOUN
cana-673	356	42	of	of	ADP
cana-673	356	43	nonlinear	nonlinear	ADJ
cana-673	356	44	analysis	analysis	NOUN
cana-673	356	45	and	and	CCONJ
cana-673	356	46	its	its	PRON
cana-673	356	47	applications	application	NOUN
cana-673	356	48	,	,	PUNCT
cana-673	356	49	6	6	NUM
cana-673	356	50	(	(	PUNCT
cana-673	356	51	4	4	NUM
cana-673	356	52	)	)	PUNCT
cana-673	356	53	,	,	PUNCT
cana-673	356	54	pp	pp	PROPN
cana-673	356	55	.	.	PUNCT
cana-673	357	1	433	433	NUM
cana-673	357	2	-	-	SYM
cana-673	357	3	450	450	NUM
cana-673	357	4	.	.	PUNCT
cana-673	358	1	[	[	X
cana-673	358	2	41	41	NUM
cana-673	358	3	]	]	X
cana-673	358	4	goyal	goyal	PROPN
cana-673	358	5	,	,	PUNCT
cana-673	358	6	dinesh	dinesh	PROPN
cana-673	358	7	,	,	PUNCT
cana-673	358	8	kumar	kumar	PROPN
cana-673	358	9	,	,	PUNCT
cana-673	358	10	anil	anil	PROPN
cana-673	358	11	,	,	PUNCT
cana-673	358	12	gandhi	gandhi	PROPN
cana-673	358	13	,	,	PUNCT
cana-673	358	14	yatin	yatin	NOUN
cana-673	358	15	&	&	CCONJ
cana-673	358	16	khetani	khetani	PROPN
cana-673	358	17	,	,	PUNCT
cana-673	358	18	vinit	vinit	NOUN
cana-673	358	19	(	(	PUNCT
cana-673	358	20	2024	2024	NUM
cana-673	358	21	)	)	PUNCT
cana-673	358	22	securing	secure	VERB
cana-673	358	23	wireless	wireless	ADJ
cana-673	358	24	sensor	sensor	NOUN
cana-673	358	25	networks	network	NOUN
cana-673	358	26	with	with	ADP
cana-673	358	27	novel	novel	ADJ
cana-673	358	28	hybrid	hybrid	ADJ
cana-673	358	29	lightweight	lightweight	ADJ
cana-673	358	30	cryptographic	cryptographic	ADJ
cana-673	358	31	protocols	protocol	NOUN
cana-673	358	32	,	,	PUNCT
cana-673	358	33	journal	journal	NOUN
cana-673	358	34	of	of	ADP
cana-673	358	35	discrete	discrete	ADJ
cana-673	358	36	mathematical	mathematical	ADJ
cana-673	358	37	sciences	science	NOUN
cana-673	358	38	and	and	CCONJ
cana-673	358	39	cryptography	cryptography	NOUN
cana-673	358	40	,	,	PUNCT
cana-673	358	41	27:2	27:2	NUM
cana-673	358	42	-	-	SYM
cana-673	358	43	b	b	NOUN
cana-673	358	44	,	,	PUNCT
cana-673	358	45	703–714	703–714	NUM
cana-673	358	46	,	,	PUNCT
cana-673	358	47	doi	doi	NOUN
cana-673	358	48	:	:	PUNCT
cana-673	358	49	10.47974	10.47974	NUM
cana-673	358	50	/	/	SYM
cana-673	358	51	jdmsc-1921	jdmsc-1921	NOUN
cana-673	358	52	.	.	PUNCT