Stereo vision based vehicle detection

Benjamin Kormann, Antje Neve, Gudrun Klinker, Walter Stechele

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

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.

Original languageEnglish
Title of host publicationVISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications
Pages431-438
Number of pages8
StatePublished - 2010
Event5th International Conference on Computer Vision Theory and Applications, VISAPP 2010 - Angers, France
Duration: 17 May 201021 May 2010

Publication series

NameVISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications
Volume2

Conference

Conference5th International Conference on Computer Vision Theory and Applications, VISAPP 2010
Country/TerritoryFrance
CityAngers
Period17/05/1021/05/10

Keywords

  • GPS evaluation
  • Stereo vision
  • Vehicle detection

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