loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.138.138.144

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic