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