Real-time detection algorithm of tunnel cracks based on GRU-CNN
Objective Tunnel cracks seriously damage the corresponding life time and traffic safety. However, traditional manual detections cannot efficiently and accurately identify a large number of cracks in long tunnels.This paper proposes a real-time detection algorithm for tunnel surface cracks. Methods I...
Main Authors: | Guojun Wen, Xiaofeng Gao, Yu Mao, Siyi Cheng |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Bulletin of Geological Science and Technology
2023-11-01
|
Series: | 地质科技通报 |
Subjects: | |
Online Access: | https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.tb20220129 |
Similar Items
-
Automatic Crack Detection and Classification Method for Subway Tunnel Safety Monitoring
by: Wenyu Zhang, et al.
Published: (2014-10-01) -
Image-Processing-Based Subway Tunnel Crack Detection System
by: Xiaofeng Liu, et al.
Published: (2023-06-01) -
Comparative Study on Concrete Crack Detection of Tunnel Based on Different Deep Learning Algorithms
by: Hongliang Yu, et al.
Published: (2022-03-01) -
Tunnel Lining Crack Detection Method Based on Polarization 3D Imaging
by: Yue Zhang, et al.
Published: (2023-09-01) -
Image-Range Stitching and Semantic-Based Crack Detection Methods for Tunnel Inspection Vehicles
by: Lin Tian, et al.
Published: (2023-10-01)