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    Roadside LiDAR–Filtering Method Based on a Partial Background Optimization Method

    Source: Journal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 012::page 04025103-1
    Author:
    Xu, Xiaoxia
    ,
    Fan, Lu
    ,
    Liu, Tong
    ,
    Zhao, Yating
    DOI: 10.1061/JTEPBS.TEENG-9160
    Publisher: American Society of Civil Engineers
    Abstract: AbstractBackground filtering is a key step for traffic information acquisition using roadside light detection and ranging (LiDAR) sensors because their performance directly affects the accuracy of downstream perception tasks. In this paper, we proposed a ...
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      Roadside LiDAR–Filtering Method Based on a Partial Background Optimization Method

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313675
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorXu, Xiaoxia
    contributor authorFan, Lu
    contributor authorLiu, Tong
    contributor authorZhao, Yating
    date accessioned2026-08-20T20:55:20Z
    date available2026-08-20T20:55:20Z
    date copyright2025/09/29
    date issued2025
    identifier otherJTEPBS.TEENG-9160.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313675
    description abstractAbstractBackground filtering is a key step for traffic information acquisition using roadside light detection and ranging (LiDAR) sensors because their performance directly affects the accuracy of downstream perception tasks. In this paper, we proposed a ...
    publisherAmerican Society of Civil Engineers
    titleRoadside LiDAR–Filtering Method Based on a Partial Background Optimization Method
    typeJournal Article
    journal volume151
    journal issue12
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-9160
    journal fristpage04025103-1
    journal lastpage04025103-10
    page10
    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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    yabeshDSpacePersian