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UAV-LiDAR-Based Measuring Framework for Height and Stagger of High-Speed Railway Contact Wire

  • Yixuan Geng
  • , Fengjun Pan
  • , Limin Jia
  • , Zhipeng Wang*
  • , Yong Qin
  • , Lei Tong
  • , Shiqi Li
  • *此作品的通讯作者
  • Beijing Jiaotong University
  • Nanyang Technological University

科研成果: 期刊稿件文章同行评审

摘要

The height and stagger of the contact wire directly affect the energy supply of high-speed trains. To ensure the operation safety, there is an urgent demand for high-speed railways to measure the static parameters of contact wires all over the line with high precision and efficiency. However, this issue is barely discussed. Concerning the issue, this paper proposes a UAV-LiDAR-based measuring framework for the static height and stagger of high-speed railway contact wire. By mounting LiDAR on the UAV, the framework can efficiently collect data from the lines in service without occupying the train operating-diagrams. It is extremely significant for the high-speed and high-density railways. Then, we present self-adaptive extraction algorithms to extract critical infrastructures (rails, contact wires, masts and other suspensions) based on their specific geometric characteristics as well as the continuity and consistency of the spatial distributions along the line. Finally, the height and stagger are calculated by formulas automatically. To verify the framework in practice, we tested it on Beijing-Shanghai high-speed railway, which is the busiest high-speed railway in China. It is shown that the measurement error is within 9mm and the framework has potential to reform the inspection of high-speed railways.

源语言英语
页(从-至)7587-7600
页数14
期刊IEEE Transactions on Intelligent Transportation Systems
23
7
DOI
出版状态已出版 - 1 7月 2022
已对外发布

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