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    BSCS-Net: A Lightweight Segmentation Network for Automated Bridge Surface Crack Detection 

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003:;page 04026007-1
    Author(s): Zhang, Allen A.; Wang, Dingfeng; Peng, Yi; Cheng, Huixuan; Wei, Yifan; Zhan, You
    Publisher: American Society of Civil Engineers
    Abstract: AbstractTimely detection and repair of cracks play a critical role in ensuring traffic safety during bridge operation and maintenance. This paper proposes a lightweight, end-to-end segmentation network named bridge surface ...
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    JCNet-Based Multidistress and Surface Feature Detection in Pavement Images at Pixel Level 

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003:;page 04026011-1
    Author(s): Cheng, Huixuan; Zhang, Allen A.; Wang, Dingfeng; Shang, Jing; He, Anzheng; Peng, Yi; Wei, Yifan; Zhan, You
    Publisher: American Society of Civil Engineers
    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 ...
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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(s): Wei, Yifan; Peng, Yi; Cheng, Huixuan; Wang, Dingfeng; Zhang, Allen A.
    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 ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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