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    Panoramic Vision–Driven Deep Learning Framework for Structural Inspection and Condition Assessment

    Source: Journal of Bridge Engineering:;2025:;Volume ( 030 ):;issue: 010::page 04025061-1
    Author:
    Lei, Xiaoming
    ,
    Sun, Mengjin
    ,
    Dong, You
    ,
    Frangopol, Dan M.
    DOI: 10.1061/JBENF2.BEENG-7638
    Publisher: American Society of Civil Engineers
    Abstract: Abstract Traditional structural inspection methods, while effective, often fall short in terms of efficiency, coverage, and consistency, thereby highlighting the need for innovative approaches. This paper presents a novel vision-based framework for ...
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      Panoramic Vision–Driven Deep Learning Framework for Structural Inspection and Condition Assessment

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314312
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    • Journal of Bridge Engineering

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    contributor authorLei, Xiaoming
    contributor authorSun, Mengjin
    contributor authorDong, You
    contributor authorFrangopol, Dan M.
    date accessioned2026-08-20T21:20:24Z
    date available2026-08-20T21:20:24Z
    date copyright2025/07/21
    date issued2025
    identifier otherJBENF2.BEENG-7638.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314312
    description abstractAbstract Traditional structural inspection methods, while effective, often fall short in terms of efficiency, coverage, and consistency, thereby highlighting the need for innovative approaches. This paper presents a novel vision-based framework for ...
    publisherAmerican Society of Civil Engineers
    titlePanoramic Vision–Driven Deep Learning Framework for Structural Inspection and Condition Assessment
    typeJournal Article
    journal volume30
    journal issue10
    journal titleJournal of Bridge Engineering
    identifier doi10.1061/JBENF2.BEENG-7638
    journal fristpage04025061-1
    journal lastpage04025061-15
    page15
    treeJournal of Bridge Engineering:;2025:;Volume ( 030 ):;issue: 010
    contenttypeFulltext
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