Tunnel lining crack detection model based on improved YOLOv5
文献类型：期刊论文
| 作者 | Duan, Shuqian3,4; Zhang, Minghuan3; Qiu, Shili2; Xiong, Jiecheng3; Zhang, Hao2; Li, Chenyang4; Jiang, Quan2; Kou, Yongyuan1,5 |
| 刊名 | TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
 |
| 出版日期 | 2024-05-01 |
| 卷号 | 147页码:13 |
| 关键词 | Tunnel lining cracks Detection model Intelligent recognition YOLOv5 Computer vision |
| ISSN号 | 0886-7798 |
| DOI | 10.1016/j.tust.2024.105713 |
| 英文摘要 | An improved real-time tunnel lining crack detection model based on YOLOv5 is proposed. This model maintains high precision and accuracy crack detection in low-light, low-contrast and high-noise environments by introducing several effective data augmentation techniques as well as semantic context encoding (SCE) and detail preserving encoding (DPE) at the head of the network structure. It achieves 90 % precision, 91 % recall, and 92 % mAP@50. The model demonstrates better detection performance than YOLOv4-tiny, YOLOv5s, YOLOv8s, and traditional threshold segmentation method, especially in complex environments to reduce misdetection and omission. The average detection time is only 12 ms per image, demonstrating the feasibility of its real-time application. The robust and generalization performance of the model is validated in specific engineering applications, showing great potential for improving detection efficiency, cost-effectiveness, and reliability in tunnel safety assessment and disasters management. |
| 资助项目 | Scientists Sponsorship Program by CAST[2023QNRC001] ; Henan Province Science and Technology Innovation Talent Program[2023HYTP002] |
| WOS研究方向 | Construction & Building Technology ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001216100000001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/41205]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Qiu, Shili |
| 作者单位 | 1.Univ Sci & Technol Beijing, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Hubei, Peoples R China 3.Zhengzhou Univ, Sch Civil Engn, Zhengzhou 450001, Henan, Peoples R China 4.Henan Urban Planning Inst & Corp, Zhengzhou 450044, Henan, Peoples R China 5.Jinchuan Grp Co Ltd, Jinchang 737100, Gansu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Duan, Shuqian,Zhang, Minghuan,Qiu, Shili,et al. Tunnel lining crack detection model based on improved YOLOv5[J]. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY,2024,147:13. |
| APA | Duan, Shuqian.,Zhang, Minghuan.,Qiu, Shili.,Xiong, Jiecheng.,Zhang, Hao.,...&Kou, Yongyuan.(2024).Tunnel lining crack detection model based on improved YOLOv5.TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY,147,13. |
| MLA | Duan, Shuqian,et al."Tunnel lining crack detection model based on improved YOLOv5".TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 147(2024):13. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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