id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-25603	Mao, Hanwei; Wang, Peng; Zhou, Liming; Zhu, Zhiren; Ren, Xiangmeng	Improved Target Detection Algorithm for Foggy Conditions in YOLOv8	2024	4	.pdf	application/pdf	2329	133	49	Abstract: In a foggy environment, due to the significant decrease in visibility, the target image captured by the vehicle camera becomes blurred and the information is incomplete, which exacerbates the problem of misdetection and omission in the process of target detection, and poses a serious challenge to driving safety and navigation accuracy. In this paper, based on the YOLOv8n model, a new foggy target detection algorithm, YOLO_BIS, is proposed to address the misdetection and omission problems that occur when it performs target detection in foggy scenarios.	cache/ajst-25603.pdf	txt/ajst-25603.txt