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    Rockfall-YOLO Deep Learning Model for Rockfall Motion Object Detection

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006::page 04025104-1
    Author:
    Su, Guoshao
    ,
    Huang, Weijie
    ,
    Li, Chongjin
    ,
    Huang, Xiaojie
    DOI: 10.1061/JCCEE5.CPENG-6268
    Publisher: American Society of Civil Engineers
    Abstract: AbstractA Rockfall-You Only Look Once (YOLO) deep learning model is proposed in this study for rockfall detection to overcome the problems of current rockfall object detection models, such as the low detection accuracy of motion targets with blurred ...
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      Rockfall-YOLO Deep Learning Model for Rockfall Motion Object Detection

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314369
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    contributor authorSu, Guoshao
    contributor authorHuang, Weijie
    contributor authorLi, Chongjin
    contributor authorHuang, Xiaojie
    date accessioned2026-08-20T21:23:00Z
    date available2026-08-20T21:23:00Z
    date copyright2025/09/02
    date issued2025
    identifier otherJCCEE5.CPENG-6268.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314369
    description abstractAbstractA Rockfall-You Only Look Once (YOLO) deep learning model is proposed in this study for rockfall detection to overcome the problems of current rockfall object detection models, such as the low detection accuracy of motion targets with blurred ...
    publisherAmerican Society of Civil Engineers
    titleRockfall-YOLO Deep Learning Model for Rockfall Motion Object Detection
    typeJournal Article
    journal volume39
    journal issue6
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6268
    journal fristpage04025104-1
    journal lastpage04025104-18
    page18
    treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006
    contenttypeFulltext
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