B. Kormann, A. Neve, G. Klinker, W. Stechele Stereo Vision Based Vehicle Detections VISIGRAPP 2010: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; Angers, France, May 17-21, 2010, pp. 431-438. (bib)
	This paper describes a vehicle detection method using 3D data derived from a disparity map available in real-time. The integration of a flat road model reduces the search space in all dimensions. Inclination changes are considered for the road model update. The vehicles, modeled as a cuboid, are detected in an iterative refinement process for hypotheses generation on the 3D data. The detection of a vehicle is performed by a mean-shift clustering of plane filtered segments potentially belonging together in a first step. In the second step a u/v-disparity approach generates vehicle hypotheses covering differently appearing vehicles. The system was evaluated in real-traffic-scenes using a GPS system.
	This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.