Visual Inspection Method for Subway Tunnel Cracks Based on Multi-Kernel Convolution Cascade Enhancement Learning

Author:

WANG Baoxian1,DONG Zhihao1,WANG Yuzhao1,QIN Shoupeng2,TAN Zhao2,ZHAO Weigang1,REN Wei-Xin3,WANG Junfang3

Affiliation:

1. Shijiazhuang Tiedao University

2. China Railway design corporation

3. Shenzhen University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference20 articles.

1. [1] H.L. Wang, X.Z. Liu, N. Li, et al., “Safety evaluation of tunnel lining with longitudinal cracks and reinforcement design,” Chinese Journal of Rock Mechanics and Engineering, vol.29, no.S1, pp.2651-2656, 2010.

2. [2] J.F. Wang, K.J. Liu, W.J. Zhou, Y.F. Zhang, Y.K. Wang, and J.W. Fan, “Three-dimensional numerical analysis of the Changgeluo landslide-tunnel engineering disaster on Shangri-La to Lijiang highway,” Bulletin of Geological Science and Technology, vol.41, no.2, pp.34-43, 2022. 10.19509/j.cnki.dzkq.2022.0009

3. [3] F. Dong, Q. Fang, D. Zhang, et al., “Analysis on defects of operational metro tunnels in Beijing,” China Civil Engineering Journal, pp.104-113, 2017.

4. [4] Z. Zhou, J. Zhang, and C. Gong, “Automatic detection method of tunnel lining multi-defects via an enhanced You Only Look Once network,” Computer-Aided Civil and Infrastructure Engineering, vol.37, no.6, pp.762-780, 2022. 10.1111/mice.12836

5. [5] G. Lu, X. He, Q. Wang, F. Shao, J. Wang, Q. Jiang, and A. Mohammadzadeh, “Bridge crack detection based on improved single shot multi-box detector,” PLOS ONE, vol.17, no.10, e0275538, 2022. 10.1371/journal.pone.0275538

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