Automatic Detection of Shield Tunnel Leakages Based on Terrestrial Mobile LiDAR Intensity Images Using Deep Learning

Automatic Detection of Shield Tunnel Leakages Based on Terrestrial Mobile LiDAR Intensity Images Using Deep Learning

Water leakages are very important signals that characterize the serious potential structural damages or flaws in shield tunnels. Automatic, timely, and accurate detection of water leakages is of great significance to the safe operation and maintenance for shield tunnels. However, existing methods (e...

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Bibliografische gegevens
Hoofdauteurs: Xiaolong Cheng, Xuhang Hu, Kai Tan, Lingwen Wang, Lingjing Yang
Formaat: Artikel
Taal:English
Gepubliceerd in: IEEE 2021-01-01
Reeks:IEEE Access
Onderwerpen:
LiDAR intensity correction
intensity images
deep learning
fully convolutional network
leakage detection
shield tunnels
Online toegang:https://ieeexplore.ieee.org/document/9395081/

Internet

https://ieeexplore.ieee.org/document/9395081/

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