Dealing with the Perspective Distortion to Detect Overtaking Cars for Driving Assistance

  • Authors:

  • S. Mota;E. Ros;J. Díaz;R. Agís;R. Rodriguez;R. Carrillo

  • Affiliations:

  • Department of Computer Sciences and Numerical Analysis, University of Córdoba, Campus de Rabanales s/n, Edificio Albert Einstein, 14071, Córdoba, Spain;Department of Computer Architecture and Technology, University of Granada, Periodista Daniel Saucedo Aranda s/n, 18071 Granada, Spain;Department of Computer Architecture and Technology, University of Granada, Periodista Daniel Saucedo Aranda s/n, 18071 Granada, Spain;Department of Computer Architecture and Technology, University of Granada, Periodista Daniel Saucedo Aranda s/n, 18071 Granada, Spain;Department of Computer Architecture and Technology, University of Granada, Periodista Daniel Saucedo Aranda s/n, 18071 Granada, Spain;Department of Computer Architecture and Technology, University of Granada, Periodista Daniel Saucedo Aranda s/n, 18071 Granada, Spain

  • Venue:
  • IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
  • Year:
  • 2007

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Abstract

The driver's loss of attention is an important problem in which are spent considerable research efforts in different areas such as psychology, automobile technology, computer vision and driving assistance. We use here a simple algorithm based on rigid-body and motion detection. This scheme efficiently segments moving objects using the visual field of the driver's rear-view mirror. The overtaking scene in the rear-view mirror is distorted due to perspective, making it difficult to detect the overtaking car. Thus we propose two alternative methods to deal with this problem and compare the results in different overtaking sequences.