Vision-based blind spot detection using optical flow

  • Authors:

  • M. A. Sotelo;J. Barriga;D. Fernández;I. Parra;J. E. Naranjo;M. Marrón;S. Alvarez;M. Gavilán

  • Affiliations:

  • Department of Electronics, University of Alcalá, Alcalá de Henares, Madrid, Spain;Department of Electronics, University of Alcalá, Alcalá de Henares, Madrid, Spain;Department of Electronics, University of Alcalá, Alcalá de Henares, Madrid, Spain;Department of Electronics, University of Alcalá, Alcalá de Henares, Madrid, Spain;Industrial Automation Institute, CSIC, Arganda del Rey, Madrid, Spain;Department of Electronics, University of Alcalá, Alcalá de Henares, Madrid, Spain;Department of Electronics, University of Alcalá, Alcalá de Henares, Madrid, Spain;Department of Electronics, University of Alcalá, Alcalá de Henares, Madrid, Spain

  • Venue:
  • EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
  • Year:
  • 2007

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Abstract

This paper describes a vision-based system for blind spot detection in intelligent vehicle applications. A camera is mounted in the lateral mirror of a car with the intention of visually detecting cars that can not be perceived by the vehicle driver since they are located in the so-called blind spot. The detection of cars in the blind spot is carried out using computer vision techniques, based on optical flow and data clustering, as described in the following lines.