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Vision-Based Blind Spot Detection Using Optical Flow

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Computer Aided Systems Theory – EUROCAST 2007 (EUROCAST 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4739))

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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.

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References

  1. Giachetti, A., Campani, M., Torre, V.: The use of optical flow for road navigation. IEEE Transactions on Robotics and Automation 14(1) (1998)

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  2. Kailunailen, J.: Clustering algorithms: basics and visualization. Helsinki University of Technology. Laboratory of Computer and Information Science. T61.195, Special Assignment 1 (2002)

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  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)

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Roberto Moreno Díaz Franz Pichler Alexis Quesada Arencibia

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© 2007 Springer-Verlag Berlin Heidelberg

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Sotelo, M.A. et al. (2007). Vision-Based Blind Spot Detection Using Optical Flow. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2007. EUROCAST 2007. Lecture Notes in Computer Science, vol 4739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75867-9_139

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  • DOI: https://doi.org/10.1007/978-3-540-75867-9_139

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75866-2

  • Online ISBN: 978-3-540-75867-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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