3D reconstruction and automatic leakage defect quantification of metro tunnel based on SfM-Deep learning method

3D reconstruction and automatic leakage defect quantification of metro tunnel based on SfM-Deep learning method

Various structural defects deteriorate tunnel operation status and threaten public safety. Current tunnel inspection methods face problems of low efficiency, high equipment expense, and difficult data management. Combining the deep learning model and the 3D reconstruction method based on structure f...

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Bibliographic Details
Main Authors: Yadong Xue, Peizhe Shi, Fei Jia, Hongwei Huang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-06-01
Series:Underground Space
Subjects:
3D reconstruction
Leakage defect quantification
Visualization
Metro tunnel
Structure from motion
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2467967421000751

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http://www.sciencedirect.com/science/article/pii/S2467967421000751

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