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    YOLO-RAPD: Enhanced YOLOv8s-Based Automated Detection of Road Assets and Pavement Distress

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    JCCEE5.CPENG-6419.pdf (6.270Mb)
    Date
    2025
    Author
    Wei, Yifan
    Peng, Yi
    Cheng, Huixuan
    Wang, Dingfeng
    Zhang, Allen A.
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    Abstract
    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 ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4314377
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