Three-way turnout identification method based on LiDAR data

Xinyi Huang; Yong Zhang; Wei Jiang

doi:10.1117/12.2619916

22 December 2021 Three-way turnout identification method based on LiDAR data

Xinyi Huang, Yong Zhang, Wei Jiang

Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 120581U (2021) https://doi.org/10.1117/12.2619916
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China

Abstract

Turnout identification can assist trains in positioning and improve the train's track occupancy identification capability. Even if the Global Navigation Satellite Systems (GNSS) is unavailable or interfered, it is possible to achieve track selective positioning. This paper uses the branching direction detection method to identify the three-way turnout on the basis of the single turnout identification. The turnout data is measured by using LiDAR. The method is validated by using track data detected on the railway. Experiment results show that the method proposed in this paper is effective to identify three-way turnout.

Citation Download Citation

Xinyi Huang, Yong Zhang, and Wei Jiang "Three-way turnout identification method based on LiDAR data", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 120581U (22 December 2021); https://doi.org/10.1117/12.2619916

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