Intelligent Tunnel Defect Detection Based on TN-YOLOv9

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Graphic and Image Processing | 更新时间：2026-05-27

- Intelligent Tunnel Defect Detection Based on TN-YOLOv9
- Software Guide Vol. 25, Issue 5, Pages: 158-167(2026)
- 作者机构：
  
  1.中铁一局集团有限公司，陕西西安 710054
  2.中铁一局集团电务工程有限公司，陕西西安 710025
  3.中铁一局集团城市轨道交通工程有限公司，江苏无锡 214104
  4.西安理工大学计算机科学与工程学院，陕西西安 710048
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.251645
  CLC： U457
- Received：31 December 2025，
  
  Published：15 May 2026
- 稿件说明：
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吴回获,左传文,李宽等.基于TN-YOLOv9的隧道病害智能检测[J].软件导刊,2026,25(05):158-167.

WU Huihuo,ZUO Chuanwen,LI Kuan,et al.Intelligent Tunnel Defect Detection Based on TN-YOLOv9[J].Software Guide,2026,25(05):158-167.
吴回获,左传文,李宽等.基于TN-YOLOv9的隧道病害智能检测[J].软件导刊,2026,25(05):158-167. DOI： 10.11907/rjdk.251645.

WU Huihuo,ZUO Chuanwen,LI Kuan,et al.Intelligent Tunnel Defect Detection Based on TN-YOLOv9[J].Software Guide,2026,25(05):158-167. DOI： 10.11907/rjdk.251645.

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