Identification of in-lane vehicles using a scene tracking technique for intelligent automotive systems

摘要

Several Intelligent Vehicle applications require knowledge of the presence of objects in the path of the host vehicle. Current approaches to this in-path decision process do not fully utilize the information available from the forward- looking sensor.An earlier paper described a scene tracking path algorithm in which the observed trajectories of preceding vehicles are used to determine the shape of the road in front of the host, along with the orientation of the host with respect to the road, thereby improving the accuracy of object lane determination. This paper reviews that algorithm and presents simulation-based comparisons of the performances of the conventional and scene tracking approaches.