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    Optimized Pavement Crack Segmentation with Low Computational Cost Using Fusion-Enhanced Attention U-Net

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    JCCEE5.CPENG-6525.pdf (3.966Mb)
    Date
    2026
    Author
    Mohammed, Mohammed Ameen
    Han, Zheng
    Li, Yange
    Al-Huda, Zaid
    Wang, Weidong
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    Abstract
    AbstractAccurate segmentation of pavement cracks is crucial for maintaining road safety and the longevity of road infrastructures. Existing convolutional neural network (CNN) models often struggle with the noise and irregular crack patterns inherent in ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4314394
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