Optoelectronic fusion anti-tracking application in railway communication
This work introduces a fusion method that combines millimeter-wave radar and cameras in order to accurately detect obstacles inside restricted zones and anticipate their direction in real-time. In this study, we propose a real-time method for railway track detection and 3D fitting based on camera and LiDAR fusion sensing. The requirement for intelligent trains to enable real-time sensing of multi-source information throughout the entire operational process has become vital as the government aggressively encourages the digitalization, scalability, intensification, and synergistic development of rail transportation. The Federal Railroad Administration (FRA) sponsored a research team from Oklahoma State University (OSU) to assess how well Optical Fiber Sensors (OFS), specifically Fiber Bragg Grating (FBG) sensors, can monitor railroad track transitions.
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