A comparative study of two vertical road modelling techniques

  • Authors:
  • Konstantin Schauwecker;Reinhard Klette

  • Affiliations:
  • Computer Science Department, The University of Auckland, Auckland, New Zealand;Computer Science Department, The University of Auckland, Auckland, New Zealand

  • Venue:
  • ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
  • Year:
  • 2010

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Abstract

Binocular vision combined with stereo matching algorithms can be used in vehicles to gather data of the spatial proximity. To utilize this data we propose a new method for modeling the vertical road profile from a disparity map. This method is based on a region-growing technique, which iteratively performs a least-squares fit of a B-spline curve to a region of selected points. We compare this technique to two variants of the v-disparity method using either an envelope function or a planarity assumption. Our findings are that the proposed road-modeling technique outperforms both variants of the v-disparity technique, for which the planarity assumption is slightly better than the envelope version.