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基于改进YOLOv8n的城市道路病害检测算法

朱世松 高虹 芦碧波 都海静

液晶与显示2025,Vol.40Issue(9):1356-1368,13.
液晶与显示2025,Vol.40Issue(9):1356-1368,13.DOI:10.37188/CJLCD.2025-0101

基于改进YOLOv8n的城市道路病害检测算法

Urban road defect detection algorithm based on improved YOLOv8n

朱世松 1高虹 1芦碧波 1都海静2

作者信息

  • 1. 河南理工大学 计算机科学与技术学院,河南 焦作 454003
  • 2. 修武县林业发展服务中心,河南 焦作 454350
  • 折叠

摘要

Abstract

To address the challenges of low accuracy in urban road defect detection caused by varying defect scales and complex environments,this study proposes an improved detection algorithm named YOLOv8-road.The algorithm incorporates a multi-level perception attention(MLPA)mechanism into the backbone network to capture long-range dependencies and extract rich contextual information,enhancing defect feature representation and enabling the model to focus more effectively on defective regions.In the neck structure,a dilated wrapping residual convolution(DWR_Conv)module is integrated into the C2f structure,forming a new C2f_D module that improves multi-scale feature extraction and facilitates the capture of fine-grained defect information while reducing interference from road surface backgrounds.Additionally,the algorithm employs the WIoU loss function to optimize bounding box regression,increasing the model's adaptability to various defect types and mitigating the negative impact of low-quality samples.Experimental results demonstrate that YOLOv8-road achieves a mean Average Precision at 50%(mAP50)of 98.5%,with a precision of 96.8%and a recall of 96.0%.Compared to the original YOLOv8n model,these metrics represent improvements of 4.2%,3.6%,and 4.7%,respectively.The proposed YOLOv8-road algorithm exhibits superior performance in real-world urban road defect detection tasks,meeting the practical requirements of road maintenance applications.

关键词

道路工程/道路病害/YOLOv8n/YOLOv8-road/注意力机制

Key words

road engineering/road defect/YOLOv8n/YOLOv8-road/attention mechanism

分类

信息技术与安全科学

引用本文复制引用

朱世松,高虹,芦碧波,都海静..基于改进YOLOv8n的城市道路病害检测算法[J].液晶与显示,2025,40(9):1356-1368,13.

基金项目

国家自然科学基金(No.42272178) (No.42272178)

2024年度河南省高等学校重点科研项目(No.24B520013) (No.24B520013)

河南理工大学基本科研业务费专项项目(No.NSFR240508) Supported by National Natural Science Foundation of China(No.42272178) (No.NSFR240508)

2024 Key Scientific Research Project of Higher Education Institutions in Henan Province(No.24B520013) (No.24B520013)

Special Fund for Basic Scientific Research of Henan Polytechnic University(No.NSFR240508) (No.NSFR240508)

液晶与显示

OA北大核心

1007-2780

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