Vision‐based fault inspection of small mechanical components for train safety-Reference-Cited by-同舟云学术

Vision‐based fault inspection of small mechanical components for train safety

Published:2016-03 Issue:2 Volume:10 Page:130-139
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Liu Liu¹,Zhou Fuqiang¹,He Yuzhu¹

Affiliation:

1. School of Instrumentation Science and Optoelectronics EngineeringBeihang UniversityXueYuan Road No. 37, Haidian DistrictBeijing100191People'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.2015.0026

Reference30 articles.

1. Intelligent transport systems and effects on road traffic accidents: state of the art

2. Wireless technology applications to enhance traveller safety

3. Proactive, knowledge‐based intelligent transportation system based on vehicular sensor networks

4. Perspectives on Future Transportation Research: Impact of Intelligent Transportation System Technologies on Next-Generation Transportation Modeling

5. A License Plate-Recognition Algorithm for Intelligent Transportation System Applications

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