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Vision-Based Blind Spot Detection Using Optical Flow

  • M. A. Sotelo
  • J. Barriga
  • D. Fernández
  • I. Parra
  • J. E. Naranjo
  • M. Marrón
  • S. Alvarez
  • M. Gavilán
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4739)

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.

Keywords

Computer Vision Optical Flow Blind Spot Intelligent Vehicles 

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References

  1. 1.
    Giachetti, A., Campani, M., Torre, V.: The use of optical flow for road navigation. IEEE Transactions on Robotics and Automation 14(1) (1998)Google Scholar
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    Kailunailen, J.: Clustering algorithms: basics and visualization. Helsinki University of Technology. Laboratory of Computer and Information Science. T61.195, Special Assignment 1 (2002)Google Scholar
  3. 3.
    Sotelo, M.A., Nuevo, J., Ocaña, M., Bergasa, L.M.: A Monocular Solution to Vision-Based ACC in Road Vehicles. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds.) EUROCAST 2005. LNCS, vol. 3643, pp. 507–512. Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • M. A. Sotelo
    • 1
  • J. Barriga
    • 1
  • D. Fernández
    • 1
  • I. Parra
    • 1
  • J. E. Naranjo
    • 2
  • M. Marrón
    • 1
  • S. Alvarez
    • 1
  • M. Gavilán
    • 1
  1. 1.Department of Electronics, University of Alcalá, Alcalá de Henares, MadridSpain
  2. 2.Industrial Automation Institute, CSIC, Arganda del Rey, MadridSpain

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