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    Identifying Struck-By Hazards in Unknown Lifting Loads: A Hybrid Computer Vision Approach

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 010::page 04025146-1
    Author:
    Tang, Yidong
    ,
    Liu, Changyong
    ,
    Feng, Kailun
    ,
    Yang, Xincong
    ,
    Li, Xuelai
    ,
    Leng, Xiangyu
    DOI: 10.1061/JCEMD4.COENG-15334
    Publisher: American Society of Civil Engineers
    Abstract: AbstractStruck-by hazards frequently result in severe injuries during lifting operations. Computer vision (CV) approaches have experienced rapid development in recent years, enabling automatic monitoring of hazard scenarios and enhancing on-site safety ...
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      Identifying Struck-By Hazards in Unknown Lifting Loads: A Hybrid Computer Vision Approach

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4314617
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    • Journal of Construction Engineering and Management

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    contributor authorTang, Yidong
    contributor authorLiu, Changyong
    contributor authorFeng, Kailun
    contributor authorYang, Xincong
    contributor authorLi, Xuelai
    contributor authorLeng, Xiangyu
    date accessioned2026-08-20T21:32:22Z
    date available2026-08-20T21:32:22Z
    date copyright2025/07/24
    date issued2025
    identifier otherJCEMD4.COENG-15334.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314617
    description abstractAbstractStruck-by hazards frequently result in severe injuries during lifting operations. Computer vision (CV) approaches have experienced rapid development in recent years, enabling automatic monitoring of hazard scenarios and enhancing on-site safety ...
    publisherAmerican Society of Civil Engineers
    titleIdentifying Struck-By Hazards in Unknown Lifting Loads: A Hybrid Computer Vision Approach
    typeJournal Article
    journal volume151
    journal issue10
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-15334
    journal fristpage04025146-1
    journal lastpage04025146-17
    page17
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 010
    contenttypeFulltext
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