An advanced subway train localization system using a vision-based kilometer marker recognition-assisted multi-sensor fusion method-Reference-Cited by-同舟云学术

An advanced subway train localization system using a vision-based kilometer marker recognition-assisted multi-sensor fusion method

Published:2024-01-31 Issue: Volume: Page:1-29
ISSN:0308-1079
Container-title:International Journal of General Systems
language:en
Short-container-title:International Journal of General Systems

Author:

Xian Xiaoyu¹²,Liu Dan³,Tian Daxin¹,Tian Yin²,Jiang Wei³,Shi Yukai⁴,Lin Liang⁵

Affiliation:

1. School of Transportation Science and Engineering, Beihang University, Beijing, People’s Republic of China

2. Technical Department, CRRC Academy Co., Ltd, Beijing, People’s Republic of China

3. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, People’s Republic of China

4. School of Information Engineering, Guangdong University of Technology, Guangzhou, People’s Republic of China

5. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, People’s Republic of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modeling and Simulation,Information Systems,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/03081079.2024.2302591

Reference31 articles.

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2. China Railway. 2012. “CTCS-3 Train Control System Operation Standard-Balise Operation and Installation Manual.”

3. Dosovitskiy A. P. Fischer E. Ilg P. Hausser C. Hazirbas V. Golkov P. Van Der Smagt D. Cremers and T. Brox. 2015. “FlowNet: Learning Optical Flow with Convolutional Networks.” In Proceedings of the IEEE International Conference on Computer Vision 2758–2766. Santiago: IEEE.

4. Train locator using inertial sensors and odometer

5. Unified approach to inertial navigation system error modeling