Deep learning for masonry lined tunnel condition assessment

The condition assessment of masonry lined railway tunnels typically involves manually identifying lining defects from photographic and lidar surveys taken of the tunnel intrados. This process is time-consuming and subjective to the assessor's judgement. However, recent developments in machine l...

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Vydané v:	Expanding Underground - Knowledge and Passion to Make a Positive Impact on the World s. 2910 - 2917
Hlavní autori:	Smith, J., Paraskevopoulou, C., Bedi, A., Invernici, M.
Médium:	Kapitola
Jazyk:	English
Vydavateľské údaje:	United Kingdom CRC Press 2023 Taylor & Francis Group
Vydanie:	1
Predmet:	RGB Image Depth Map Masonry Joints Geological Strength Index Significant Efflorescence Overburden Point Cloud Tunnel Lining Watershed Algorithm Proposed Change Detection Methods Tunnel Inspection RGB Data Above Ground Digital Image Correlation TLS Survey Point Cloud Data Masonry Tunnel BIM Model Block Segmentation RGB Lidar Data Multiview Approach SEM SCL Concrete Tunnel Lining
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