Radar and video fusion to identify vehicle tracks

For a single sensor such as radar, video monitoring system cannot cope with such as illumination change, the movement of the branches swing, non-motor vehicles, goals, and other objects of shade, and the shortcomings of the sensor itself parameters change factors such as interference, lacking in vehicle trajectory identification accuracy, etc. In this paper, by studying the vehicle detection and tracking algorithm of the fusion of millimeter-wave radar sensor and camera vision sensor, a vehicle detection algorithm based on the fusion of radar and video is proposed. The radar sensor is the main one, and the video sensor is the auxiliary one. The advantages of the two are combined to track and identify the vehicle. Finally, the experimental results show that the algorithm can effectively deal with the non-motor vehicle interference, frequent blocking, illumination changes and other situations, and improve the accuracy of vehicle detection results.