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    A UAV Photography–Based Detection Method for Defective Road Marking

    Source: Journal of Performance of Constructed Facilities:;2022:;Volume ( 036 ):;issue: 005::page 04022035
    Author:
    Tianxiang Bu
    ,
    Junqing Zhu
    ,
    Tao Ma
    DOI: 10.1061/(ASCE)CF.1943-5509.0001748
    Publisher: ASCE
    Abstract: Markings are essential elements of roads and are important for driving safety enforcement. Traditional detection of marking defects relies on manual inspection, which is less effective. However, few studies could be found focusing on automatic detection of defective road markings. In this study, a detection method for defective road marking is proposed based on unmanned aerial vehicle (UAV) photography. Image acquisition based on UAV photography was discussed. The detailed processes of image preprocessing, road segmentation, marking extraction, and defective marking detection are presented. The proposed method was tested with images collected from highways, normal urban roads, and poorly maintained urban roads in Nanjing, China. Overall, the proposed method shows good robustness in defective marking detection. The precision and recall of marking extraction on highways and normal urban roads are over 93%, and the results on poorly maintained urban roads are about 76%, due to the poor road conditions. The precision of damage identification on lane markings and arrow markings were all greater than 90%. The proposed automatic process is capable of accurately and quantitatively detecting the sidelines, lane markings, and indicator markings.
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      A UAV Photography–Based Detection Method for Defective Road Marking

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4286098
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    • Journal of Performance of Constructed Facilities

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    contributor authorTianxiang Bu
    contributor authorJunqing Zhu
    contributor authorTao Ma
    date accessioned2022-08-18T12:09:17Z
    date available2022-08-18T12:09:17Z
    date issued2022/06/24
    identifier other%28ASCE%29CF.1943-5509.0001748.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286098
    description abstractMarkings are essential elements of roads and are important for driving safety enforcement. Traditional detection of marking defects relies on manual inspection, which is less effective. However, few studies could be found focusing on automatic detection of defective road markings. In this study, a detection method for defective road marking is proposed based on unmanned aerial vehicle (UAV) photography. Image acquisition based on UAV photography was discussed. The detailed processes of image preprocessing, road segmentation, marking extraction, and defective marking detection are presented. The proposed method was tested with images collected from highways, normal urban roads, and poorly maintained urban roads in Nanjing, China. Overall, the proposed method shows good robustness in defective marking detection. The precision and recall of marking extraction on highways and normal urban roads are over 93%, and the results on poorly maintained urban roads are about 76%, due to the poor road conditions. The precision of damage identification on lane markings and arrow markings were all greater than 90%. The proposed automatic process is capable of accurately and quantitatively detecting the sidelines, lane markings, and indicator markings.
    publisherASCE
    titleA UAV Photography–Based Detection Method for Defective Road Marking
    typeJournal Article
    journal volume36
    journal issue5
    journal titleJournal of Performance of Constructed Facilities
    identifier doi10.1061/(ASCE)CF.1943-5509.0001748
    journal fristpage04022035
    journal lastpage04022035-13
    page13
    treeJournal of Performance of Constructed Facilities:;2022:;Volume ( 036 ):;issue: 005
    contenttypeFulltext
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