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    JCNet-Based Multidistress and Surface Feature Detection in Pavement Images at Pixel Level

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    JCCEE5.CPENG-7183.pdf (3.353Mb)
    Date
    2026
    Author
    Cheng, Huixuan
    Zhang, Allen A.
    Wang, Dingfeng
    Shang, Jing
    He, Anzheng
    Peng, Yi
    Wei, Yifan
    Zhan, You
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    Abstract
    AbstractAutomated road maintenance depends on the accurate recognition of pavement distresses. Traditional manual inspection methods have difficulty meeting the high-frequency and high-precision detection for automated pavement maintenance. This paper ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4314496
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