Novel Vision-Based Abnormal Behavior Localization of Pantograph-Catenary for High-Speed Trains-Reference-Cited by-同舟云学术

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Novel Vision-Based Abnormal Behavior Localization of Pantograph-Catenary for High-Speed Trains

Published:2019 Issue: Volume:7 Page:180935-180946
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Luo Yiping^ORCID,Yang Qianru^ORCID,Liu Scarlett^ORCID

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08913549.pdf?arnumber=8913549

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Two-Stage Key Component Recognition Algorithm for High-Speed Trains Based on YOLOv8;2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD);2024-05-24

2. Research on Key Technologies for Intelligent Detection of High-Speed Railway Pantograph Network Status Based on Improved YOLO Algorithm;2024 4th International Conference on Consumer Electronics and Computer Engineering (ICCECE);2024-01-12

3. Fault prediction of railway track circuit based on machine learning;International Journal of Sensor Networks;2024

4. Assessment of catenary condition monitoring by means of pantograph head acceleration and Artificial Neural Networks;Mechanical Systems and Signal Processing;2023-11

5. Machine learning for fault diagnosis of high-speed train traction systems: A review;Frontiers of Engineering Management;2023-05-31

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