id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-26756	Deng, Jingwei; Yang, Li	Research on Pavement Defect Detection Algorithm Based on SEM-YOLOv8n	2024	6	.pdf	application/pdf	3374	155	51	Later, with the development of science and technology, such as the use of ground-penetrating radar for pavement defect detection [1], this method, although the accuracy has been improved to some extent, is costly and slow, and cannot meet the huge number of pavement inspections in today's society. In order to verify the performance of SEM-YOLOv8n proposed in this paper for road defect detection, the algorithm was trained and tested using Iranian road disease dataset and SEM-YOLOv8n was compared with other mainstream detection algorithms and its actual detection was visualized, which verified that the algorithm proposed in this paper shows good detection performance for subtle road defects with complex background.	cache/ajst-26756.pdf	txt/ajst-26756.txt