Deep Learning with Spatial Constraint for Tunnel Crack Detection-Reference-Cited by-同舟云学术

Deep Learning with Spatial Constraint for Tunnel Crack Detection

Published:2019-06-13 Issue: Volume: Page:
ISSN:
Container-title:Computing in Civil Engineering 2019
language:
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Author:

Li Qingquan,Zou Qin,Liao Jianghai,Yue Yuanhao,Wang Song

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784482438.050

Reference19 articles.

1. Automatic Crack Detection on Two-Dimensional Pavement Images: An Algorithm Based on Minimal Path Selection

2. 18th IEEE International Conference on Pattern Recognition 18th IEEE International Conference on Pattern Recognition Yusuke Fujita Yoshihiro Mitani Yoshihiko Hamamoto A method for crack detection on a concrete structure 2006

3. 6th International Conference on Structural Health Monitoring of Intelligent Infrastructure 6th International Conference on Structural Health Monitoring of Intelligent Infrastructure M. Gavilán Mobile inspection system for high-resolution assessment of tunnels 2013

4. Huang H. Sun Y. Xue Y. & Wang F. (2017). Inspection equipment study for subway tunnel defects by grey-scale image processing. Advanced Engineering Informatics 32 188-201. 10.1016/j.aei.2017.03.003

5. Detecting Curves with Unknown Endpoints and Arbitrary Topology Using Minimal Paths

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3. Automatic Tunnel Crack Inspection Using an Efficient Mobile Imaging Module and a Lightweight CNN;IEEE Transactions on Intelligent Transportation Systems;2022-09

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