Train Collision Avoidance System by X-Band FMCW Radar and Long Range Camera Image Processing

Sensor fusion between X-Band radar and long-range Pan-Tilt-Zoom (PTZ) camera for train collision avoidance system is proposed. The method of Constant False Alarm Rate (CF AR) is applied for the radar signal processing to improve the correct result of radar detection. The edge detection and object detection by digital image processing are applied to long range camera system for classification of identity and position of the object. Experiments of obstacle detection by radar and camera are performed. The proposed work will benefit the safety improvement of locomotive transportation application in which its details are presented and discussed in this paper.