@inproceedings{1b3a35f5a1464ee1a86f2d101f807e98,
title = "Stereo vision based vehicle detection",
abstract = "This paper describes a vehicle detection method using 3D data derived from a disparity map available in realtime. 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 fitted 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.",
keywords = "GPS evaluation, Stereo vision, Vehicle detection",
author = "Benjamin Kormann and Antje Neve and Gudrun Klinker and Walter Stechele",
year = "2010",
language = "English",
isbn = "9789896740283",
series = "VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications",
pages = "431--438",
booktitle = "VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications",
note = "5th International Conference on Computer Vision Theory and Applications, VISAPP 2010 ; Conference date: 17-05-2010 Through 21-05-2010",
}