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    Sustainable Vehicle Detection Technology Based on Self-Powered Sensor Data and Improved YOLOv8

    Source: Journal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 012::page 04025100-1
    Author:
    Ning, Chu
    ,
    Chen, Ning
    ,
    Wei, YiLin
    ,
    Yao, Hui
    ,
    Zheng, Qiang
    DOI: 10.1061/JTEPBS.TEENG-9092
    Publisher: American Society of Civil Engineers
    Abstract: AbstractVehicle detection is a pivotal application in object detection, underpinning the advancement of sustainable and intelligent transportation systems. However, mainstream video-based detection methods often raise privacy concerns for road users and ...
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      Sustainable Vehicle Detection Technology Based on Self-Powered Sensor Data and Improved YOLOv8

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313657
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorNing, Chu
    contributor authorChen, Ning
    contributor authorWei, YiLin
    contributor authorYao, Hui
    contributor authorZheng, Qiang
    date accessioned2026-08-20T20:54:40Z
    date available2026-08-20T20:54:40Z
    date copyright2025/09/27
    date issued2025
    identifier otherJTEPBS.TEENG-9092.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313657
    description abstractAbstractVehicle detection is a pivotal application in object detection, underpinning the advancement of sustainable and intelligent transportation systems. However, mainstream video-based detection methods often raise privacy concerns for road users and ...
    publisherAmerican Society of Civil Engineers
    titleSustainable Vehicle Detection Technology Based on Self-Powered Sensor Data and Improved YOLOv8
    typeJournal Article
    journal volume151
    journal issue12
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-9092
    journal fristpage04025100-1
    journal lastpage04025100-13
    page13
    treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 012
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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