Laser & Infrared, Volume. 54, Issue 5, 814(2024)

Research on pavement pothole detection algorithm based on improved YOLOv5

WANG Zhe-xing1, LI Jun1, and Tan Qian2、*
Author Affiliations
  • 1School of Mechanical, Electrical and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China
  • 2School of Transportation, Chongqing Jiaotong University, Chongqing 400074, China
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    References(4)

    [5] [5] Zoysa K D, Keppitiyagama C, Seneviratne G P, et al. A public transport system based sensor network for road surface condition monitoring[C]//Workshop on Networked Systems for Developing Regions, 2007.

    [10] [10] Wang P, Hu Y, Dai Y, et al. Asphalt pavement pothole detection and segmentation based on wavelet energy field[J]. Mathematical Problems in Engineering, 2017.

    [11] [11] Jo Y, Ryu S. Pothole detection system using a black-box camera[J]. Sensors, 2015, 15(11): 29316-29331.

    [12] [12] Hoang N D. An artificial intelligence method for asphalt pavement pothole detection using least squares support vector machine and neural network with steerable filter-based feature extraction[J]. Advances in Civil Engineering, 2018, 4: 7419058.7419051-7419058.7419012.

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    WANG Zhe-xing, LI Jun, Tan Qian. Research on pavement pothole detection algorithm based on improved YOLOv5[J]. Laser & Infrared, 2024, 54(5): 814

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    Paper Information

    Category:

    Received: Jun. 5, 2023

    Accepted: May. 21, 2025

    Published Online: May. 21, 2025

    The Author Email: Tan Qian (1540936528@qq.com)

    DOI:10.3969/j.issn.1001-5078.2024.05.022

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