Obstacle Detection Method using On-Train Forward-facing Cameras and Sensors
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, the authors developed a method for detecting obstacles in front of trains using cameras and sensors. In their method, obstacles such as people and vehicles are detected by combining multiple sensors within a detection area around the tracks. In this paper, the authors report on the results of a study of sensor configurations suitable for obstacle detection, the detail of their 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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00339008
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Authors:
- Kageyama, Ryo
- Nagamine, Nozomi
- Yoshino, Junki
- Publication Date: 2024-11
Language
- English
- Japanese
Media Info
- Media Type: Digital/other
- Features: Figures; Photos; References; Tables;
- Pagination: pp 264-269
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Serial:
- Quarterly Report of RTRI
- Volume: 54
- Issue Number: 4
- Publisher: Railway Technical Research Institute
- ISSN: 0033-9008
- EISSN: 1880-1765
- Serial URL: https://www.jstage.jst.go.jp/browse/rtriqr/-char/en
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Cameras; Data fusion; Laser radar; Proximity detectors; Railroad trains; Sensors
- Subject Areas: Operations and Traffic Management; Railroads; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01938720
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: Dec 4 2024 5:13PM