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Real-Time Visual Motion Detection of Overtaking Cars for Driving Assistance Using FPGAs

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Field Programmable Logic and Application (FPL 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3203))

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Abstract

Overtaking is one of the most dangerous operations in driving. The rear-view mirror is sometimes not consulted by the driver or is momentarily useless because of the blind spot. This paper describes a simple FPGA system based on motion detectors of the fly and rigid-body detection that is able to efficiently segment overtaking cars using a sparse map of features from the visual field of the rear-view mirror. FPGA implementation allows real-time image processing on an embedded system.

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References

  1. Mota, S., Ros, E., Ortigosa, E.M., Pelayo, F.J.: Bio-Inspired motion detection for blind spot overtaking monitor. International Journal of Robotics and Automation (in press)

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  2. Reichardt, W.: Autocorrelation, a principle for the evaluation of sensory information by the central nervous system. In: Rosenblith, W.A. (ed.) Sensory Communication, pp. 303–317. MIT Press, Cambridge (1961)

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  3. http://www.celoxica.com/products/boards/rc200.asp

  4. http://www.xilinx.com/xlnx/xil_prodcat_landingpage.jsp?title=Platform+FPGAs

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Author information

Authors and Affiliations

  1. Department of Computer Architecture and Technology, University of Granada, Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain

    S. Mota, E. Ros, J. Díaz, E. M. Ortigosa, R. Agis & R. Carrillo

Authors
  1. S. Mota
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  2. E. Ros
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  3. J. Díaz
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  4. E. M. Ortigosa
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  5. R. Agis
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  6. R. Carrillo
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Editor information

Editors and Affiliations

  1. ITIV - Universitaet Karlsruhe (TH),  

    Jürgen Becker

  2. University of Paderborn,  

    Marco Platzner

  3. IMEC, Kapeldreef 75, Leuven, Leuven, Belgium

    Serge Vernalde

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Mota, S., Ros, E., Díaz, J., Ortigosa, E.M., Agis, R., Carrillo, R. (2004). Real-Time Visual Motion Detection of Overtaking Cars for Driving Assistance Using FPGAs. In: Becker, J., Platzner, M., Vernalde, S. (eds) Field Programmable Logic and Application. FPL 2004. Lecture Notes in Computer Science, vol 3203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30117-2_155

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  • DOI: https://doi.org/10.1007/978-3-540-30117-2_155

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22989-6

  • Online ISBN: 978-3-540-30117-2

  • eBook Packages: Springer Book Archive

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