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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Auteurs principaux:	Yadong Xue, Peizhe Shi, Fei Jia, Hongwei Huang
Format:	Artigo
Langue:	Inglês
Publié:	KeAi Communications Co., Ltd. 2022-06-01
Collection:	Underground Space
Sujets:	3D reconstruction Leakage defect quantification Visualization Metro tunnel Structure from motion Deep learning
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2467967421000751
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