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    YOLOv8n-SBP: A Lightweight and Efficient Model for Pavement Distress Detection

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    JPEODX.PVENG-1815.pdf (2.177Mb)
    Date
    2025
    Author
    Ye, Lan
    Lu, Shijun
    Hu, Fengkuo
    Fang, Qing
    Zou, Tao
    Man, Xiaofeng
    Zhang, Qinzhan
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    Abstract
    AbstractA key challenge in road infrastructure assessment and maintenance pertains to the limited detection accuracy, high computational demands, complex model architectures, and restricted adaptability of existing algorithms for identifying pavement ...Practical ApplicationsTimely detection of road defects (such as cracks, potholes, and subsidence) is critical for ensuring road safety and reducing long-term maintenance costs. Traditional inspection methods, which rely on manual visual checks or basic ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4312993
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    • Journal of Transportation Engineering, Part B: Pavements

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