Paper
10 November 2021 A design of railway intelligent obstacle detection system
Long Chen
Author Affiliations +
Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 120503V (2021) https://doi.org/10.1117/12.2613665
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China
Abstract
The advanced railway signal system can prevent train-to-train collision automatically under normal working conditions, but the lack of perception of obstacles in front of the train has always been the pain point of the existing signal system. In this research, a design of Railway Intelligent Obstacle Detection System (RIODS) is proposed for the detection and warning of obstacles on the track, such as pedestrians, rocks, and vehicles. RIODS is a comprehensive and effective system solution. By deploying the subsystem of RIODS in the vehicle, trackside, and control center to meet the engineering application needs in different operation scenarios, the availability of the system is greatly improved, and the dependence on the performance of a single sensor is reduced. Based on multi-sensor fusion technology, deep learning algorithms, train positioning technology, and wireless communication, the system achieves information collection and analysis, and obstacle detection. Through field testing, the expected design function has been achieved. RIODS can be applied to different environments, and effectively improves the safety of train operation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Long Chen "A design of railway intelligent obstacle detection system", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 120503V (10 November 2021); https://doi.org/10.1117/12.2613665
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KEYWORDS
Intelligence systems

Control systems

LIDAR

Radar

Cameras

Clouds

Safety

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