YOLO-RAPD: Enhanced YOLOv8s-Based Automated Detection of Road Assets and Pavement Distress
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Date
2025Author
Wei, Yifan
Peng, Yi
Cheng, Huixuan
Wang, Dingfeng
Zhang, Allen A.
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AbstractThis paper introduces an object detection algorithm called you only look once-road
assets and pavement distress (YOLO-RAPD), developed to automatically identify road
assets and pavement distresses. YOLO-RAPD is an improvement based on you only ...Practical ApplicationsPavement distresses, such as cracks, potholes, spalling, and missing markings, are
the most common form of damage in highway maintenance, directly affecting the service
life of the road and driving safety. With the increase of urban ...