Automated visual inspection of target parts for train safety based on deep learning-Reference-Cited by-同舟云学术

Automated visual inspection of target parts for train safety based on deep learning

Published:2018-03-14 Issue:6 Volume:12 Page:550-555
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Zhou Fuqiang¹,Song Ya¹,Liu Liu²,Zheng Dongtian¹

Affiliation:

1. School of Instrumentation Science and Optoelectronics Engineering, Beihang UniversityXueyuan Road No. 37, Haidian DistrictBeijing100191People's Republic of China

2. Beijing Institute of Aerospace Control DevicesYongding Road No. 52, Haidian DistrictBeijing100854People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2016.0338

Reference22 articles.

1. Comparative analysis of NDE techniques with image processing;Rathod V.R.;Nondestruct. Test. Eval.,2012

2. Automated visual inspection of angle cocks during train operation;Zhou F.;Proc. Inst. Mech. Eng. F J. Rail Rapid Transit,2013

3. Automated visual inspection of railroad tracks;Resendiz E.;IEEE Trans. Intell. Transp. Syst.,2013

4. Automatic fastener classification and defect detection in vision‐based railway inspection systems;Feng H.;IEEE Trans. Instrum. Meas.,2014

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