STEREO VISION BASED VEHICLE DETECTION

Benjamin Kormann, Antje Neve, Gudrun Klinker, Walter Stechele

2010

Abstract

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 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.

Paper Citation

in Harvard Style

Kormann B., Neve A., Klinker G. and Stechele W. (2010). STEREO VISION BASED VEHICLE DETECTION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 431-438. DOI: 10.5220/0002847004310438

in Bibtex Style

@conference{visapp10,
author={Benjamin Kormann and Antje Neve and Gudrun Klinker and Walter Stechele},
title={STEREO VISION BASED VEHICLE DETECTION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={431-438},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002847004310438},
isbn={978-989-674-029-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - STEREO VISION BASED VEHICLE DETECTION
SN - 978-989-674-029-0
AU - Kormann B.
AU - Neve A.
AU - Klinker G.
AU - Stechele W.
PY - 2010
SP - 431
EP - 438
DO - 10.5220/0002847004310438