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Novel method for rail wear inspection based on the sparse iterative closest point method

  • Published:2017-11-14 Issue:12 Volume:28 Page:125201
  • ISSN:0957-0233
  • Container-title:Measurement Science and Technology
  • language:
  • Short-container-title:Meas. Sci. Technol.

Author:

Yi Bing,Yang Yue,Yi Qian,Dai Wanlin,Li Xiongbing

Funder

Natural Science Foundation of Hunan Province of China

National Natural Science Foundation of China

Publisher

IOP Publishing

Subject

Applied Mathematics,Instrumentation,Engineering (miscellaneous)

Cited by 19 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. Fault Diagnosis for Rail Profile Data Using Refined Dispersion Entropy and Dependence Measurements;IEEE Transactions on Intelligent Transportation Systems;2024-09

2. Dynamic rail wear measurement: integration of RTK GNSS, IMU, and laser;Measurement Science and Technology;2024-03-26

3. Algorithms of Signal Processing in the System for High-Speed Corrugation Monitoring of Rails;2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE);2024-02-29

4. A study of error correction method based on selective focus for curved rail profile measurement;Optics & Laser Technology;2024-02

5. Fast Non-contact Measurement and Alignment Method for Rail Profile Using a 3D Scanner;Structural Integrity;2024
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