Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : November 27, 2024 - November 29, 2024
Train localization is an essential technology for ensuring safety in railways. We have previously proposed a low-cost, high-speed train localization method using a 1D LiDAR sensor and have achieved over 90% localization success rate. However, the problem of discriminating between similar structures remains. In this paper, we propose further miniaturization and increased train location information based on layering the cubic codes attached to structures for discrimination. The proposed method is verified through experiments using a scaled model and a linear motor. The experimental results show that the proposed method is successful in accurately decoding cubic codes for all patterns.
