id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-30546	Sun, Jiangfeng; Zhang, Xilong; Zeng, Yanyang	Research on Multi object Detection in Foggy Sky Based on Fog Mod YOLOV8n	2025	7	.pdf	application/pdf	3582	197	40	This proposed foggy multi-object detection algorithm provides a reliable and efficient solution for object recognition in adverse weather conditions, making it especially suitable for real-time applications such as autonomous driving and intelligent transportation systems, where object detection in foggy environments is crucial for ensuring system safety and functionality[5]. Since its launch, the YOLO series has been widely used in object detection, video analysis, and autonomous driving with its efficient detection speed and real-time performance.	cache/ajst-30546.pdf	txt/ajst-30546.txt