Radar data processing for detecting the front vehicle

This paper proposes a radar detection algorithm for vehicles moving in front. The radar used in the autonomous vehicle provides information such as the position of the objects, the relative speed, and the intensity of the signal reflection. However, it does not provide the type of the objects. In order to do autonomous driving, it is important to remove various clutters around the vehicle and accurately extract the information of the front vehicle. Therefore, there is a need for an algorithm that removes various clutter, extracts the information of the front vehicle, and tracks it. An algorithm that recognizes the front vehicle when the target stays for a certain period of time without getting out of the lane in the lateral direction is proposed. Also, considering the sudden interruption of the vehicle, the closest target is continuously updated.