Robust and efficient multi-object detection and tracking for vehicle perception systems using radar and camera sensor fusion

Abstract

This paper describes a frontal vehicle perception system developed in the framework of the European project interactIVe. The approach relies on two stage (radar and camera) sensor fusion and robust multi-object tracking. Experimental results obtained using a test car show the robustness and efficiency of the method developed. (6 pages)