Obstacle Detection Method using On-Train Forward-facing Cameras and Sensors

被引：0

作者：

Kageyama, Ryo ^{[1
]}

Nagamine, Nozomi ^{[1
]}

Yoshino, Junki ^{[1
]}

机构：

[1] Image Analysis Laboratory, Information and Communication Technology Division

来源：

Quarterly Report of RTRI (Railway Technical Research Institute) | 2024年 / 65卷 / 04期

关键词：

LiDAR; obstacle detection; sensor fusion; train forward surveillance;

D O I：

10.2219/rtriqr.65.4_264

中图分类号：

学科分类号：

摘要：

Developing sensing technology that can reliably detect obstacles on the track well ahead of a train is essential for advancing on-train forward-facing track monitoring. Therefore, we developed a method for detecting obstacles in front of trains using cameras and sensors. In our method, obstacles such as people and vehicles are detected by combining multiple sensors within a detection area around the tracks. In this paper, we report on the results of a study of sensor configurations suitable for obstacle detection, the detail of our detection algorithm using cameras and LiDARs or a stereo camera, and the results of detection performance evaluation according to distance between train cab and object. © 2024 Ken-yusha Inc.. All rights reserved.

引用

页码：264 / 269

页数：5