id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-22590	Jiang , Lingzhi; Wu , Qiwu; Tan, Weicong; Tong, Tao; Zhang, Weiyi	Research on Unmanned Aerial Vehicle Path Planning	2024	3	.pdf	application/pdf	1883	96	43	Combining the characteristics of various algorithms, classical search algorithms are suitable for path planning in static environments; evolutionary algorithms are suitable for complex path planning problems and have better global search capabilities; heuristic-based search algorithms combine heuristic information to guide the search direction, and are suitable for path planning problems that require efficient search; and deep learning methods are suitable for path planning problems in large-scale data and complex environments . Abstract: This paper reviews and analyses the research progress in the field of UAV path planning.	cache/fcis-22590.pdf	txt/fcis-22590.txt