Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN-Reference-Cited by-同舟云学术

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Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN

Published:2021-06 Issue: Volume:178 Page:109316
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Xu Yingying,Li Dawei,Xie Qian,Wu Qiaoyun,Wang Jun

Funder

Natural Science Foundation of Jiangsu Province

Aeronautical Science Foundation of China

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference53 articles.

1. Review and developing trend on technology for detecting metro tunnel structure diseases;Yang;Urban Rapid Rail Transit,2017

2. Bayesian-network-based safety risk analysis in construction projects;Zhang;Reliab. Eng. Syst. Saf.,2014

3. A fuzzy comprehensive evaluation system of mountain tunnel lining based on the fast nondestructive inspection;Wang,2011

4. Analysis on tunnel accident on line 1 of Saint Petersburg Metro;HU;Tunnel Construction,2008

5. Case study on repair work for excessively deformed shield tunnel under accidental surface surcharge in soft clay;Shao;Chin. J. Geotech. Eng.,2016

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