Enhanced pothole detection in low-light conditions using DCE-Pothole and YOLOv10 fusion

In low-light conditions, traditional computer vision methods struggle to accurately detect road potholes, often resulting in inefficient pavement condition evaluations during maintenance assessments and delays in pavement repairs for highway maintenance projects. This study introduces an end-to-end...

詳細記述

書誌詳細

出版年:	Results in Engineering
主要な著者:	Xunqian Xu, Tao Wu, Wenxuan Ge, Li Dai, Jian Gong, Dakai Chen, Shue Li
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2025-12-01
主題:	Road maintenance engineering Low-light pothole detection Edge-sensitive enhancement Novel loss function YOLOv10 integration Pavement condition assessment
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2590123025033778