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Urban road defect detection algorithm based on improved YOLOv8n
Image Processing | 更新时间：2025-09-08

    • Urban road defect detection algorithm based on improved YOLOv8n

    • “The YOLOv8 road algorithm has made breakthroughs in the field of urban road disease detection, significantly improving detection accuracy and adaptability, providing efficient solutions for road engineering applications.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 9, Pages: 1356-1368(2025)

    • DOI：10.37188/CJLCD.2025-0101    

      CLC： TP391.4
    • CSTR：32172.14.CJLCD.2025-0101    

    • Received：15 May 2025，

      Revised：2025-06-24，

      Published：05 September 2025

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  • ZHU Shisong, GAO Hong, LU Bibo, et al. Urban road defect detection algorithm based on improved YOLOv8n[J]. Chinese journal of liquid crystals and displays, 2025, 40(9): 1356-1368. DOI： 10.37188/CJLCD.2025-0101. CSTR： 32172.14.CJLCD.2025-0101.

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Related Author

GAO Hong
DU Haijing
LU Bibo
LI Wenbiao
TAO Yang
DONG Yuan
ZHOU Liqun
ZHANG Lei

Related Institution

School of Communications and Information Engineering， Chongqing University of Posts and Telecommunications
School of Integrated Circuits， Dalian University of Technology
College of Information Engineering， Dalian Ocean University
State Key Laboratory of Coastal and Offshore Engineering， Dalian University of Technology
School of Automation， Nanjing University of Information Science & Technology
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