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

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006::page 04025092-1
    Author:
    Wei, Yifan
    ,
    Peng, Yi
    ,
    Cheng, Huixuan
    ,
    Wang, Dingfeng
    ,
    Zhang, Allen A.
    DOI: 10.1061/JCCEE5.CPENG-6419
    Publisher: American Society of Civil Engineers
    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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      YOLO-RAPD: Enhanced YOLOv8s-Based Automated Detection of Road Assets and Pavement Distress

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314377
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    • Journal of Computing in Civil Engineering

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    contributor authorWei, Yifan
    contributor authorPeng, Yi
    contributor authorCheng, Huixuan
    contributor authorWang, Dingfeng
    contributor authorZhang, Allen A.
    date accessioned2026-08-20T21:23:34Z
    date available2026-08-20T21:23:34Z
    date copyright2025/08/04
    date issued2025
    identifier otherJCCEE5.CPENG-6419.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314377
    description abstractAbstractThis 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 ...
    publisherAmerican Society of Civil Engineers
    titleYOLO-RAPD: Enhanced YOLOv8s-Based Automated Detection of Road Assets and Pavement Distress
    typeJournal Article
    journal volume39
    journal issue6
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6419
    journal fristpage04025092-1
    journal lastpage04025092-20
    page20
    treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006
    contenttypeFulltext
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