A CNN-Based Automatic Detection Method for Tunnel Lining Internal Defect Using Ground Penetrating Radar
Tong Yang
School of Transportation Engineering, Kunming University of Science and Technology, Kunming, China
Jingyi Tangqing
School of Safety Engineering and Emergency Management, Shijiazhuang Tiedao University, Shijiazhuang, China
Guangcai Zhang
School of Transportation Engineering, Kunming University of Science and Technology, Kunming, China
Sihui Long
School of Transportation Engineering, Kunming University of Science and Technology, Kunming, China
Fengxiang Guo
School of Transportation Engineering, Kunming University of Science and Technology, Kunming, China
Fei Xu
School of Safety Engineering and Emergency Management, Shijiazhuang Tiedao University, Shijiazhuang, China
Zheyi Chen
School of Transportation Engineering, Kunming University of Science and Technology, Kunming, China
Yunpeng Wu
School of Transportation Engineering, Kunming University of Science and Technology, Kunming, China
cover tunnel photo by: Matt Brown from London, England / CC BY
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https://ieeexplore.ieee.org/document/10364184/
A CNN-Based Automatic Detection Method for Tunnel Lining Internal Defect Using Ground Penetrating Radar
ieeexplore.ieee.orgRegular tunnel lining internal damage (TLID) inspection is very crucial for the railroad operation safety. However, traditional manual identification methods us