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Authors: Benjamin Kormann ; Antje Neve ; Gudrun Klinker and Walter Stechele

Affiliation: BMW Group Research and Technology;Technische Universität München, Germany

Keyword(s): Stereo vision, Vehicle detection, GPS evaluation.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Retrieval of 3D Objects from Video Sequences

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.

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Paper citation in several formats:
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 (VISIGRAPP 2010) - Volume 2: VISAPP; ISBN 978-989-674-029-0; ISSN 2184-4321, SciTePress, pages 431-438. DOI: 10.5220/0002847004310438

@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 (VISIGRAPP 2010) - Volume 2: VISAPP},
year={2010},
pages={431-438},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002847004310438},
isbn={978-989-674-029-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP
TI - STEREO VISION BASED VEHICLE DETECTION
SN - 978-989-674-029-0
IS - 2184-4321
AU - Kormann, B.
AU - Neve, A.
AU - Klinker, G.
AU - Stechele, W.
PY - 2010
SP - 431
EP - 438
DO - 10.5220/0002847004310438
PB - SciTePress

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