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VISION-BASED ANALYSIS OF THE TIRE FOOTPRINT SHAPE

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Computer Vision and Graphics

Part of the book series: Computational Imaging and Vision ((CIVI,volume 32))

Abstract

In this paper we present an image processing application for automatic shape analysis of tire-ground contact area. To conduct such evaluations is essential since tires are responsible for giving support for the vehicle and for transforming forces necessary to obtain required kinematic behavior of the vehicle. Normally analysis and comparison of footprints is done “manually”, just by looking on them, automatisation by means of image processing can make them objective and more efficient.

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References

  1. John C. Dixon, Tires, suspension and handling, Warrendale, Pa.: Society of Automotive Engineers, second edition, 1996.

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  2. James R. Parker, Algorithms for image processing and computer vision, Wiley computer publishing, New York, 1997.

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  3. J. P. Lewis, Fast Template Matching, Vision Interface, pp. 120–123, 1995.

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Author information

Authors and Affiliations

  1. Technical University of Koszalin, Raclawicka 15-17, Koszalin, 75-620, Poland

    Klaudia Jankowska & Tomasz Krzyzynski

  2. Continental AG, Jaedekamp 30, 30419 Hannover, Germany

    Andreas Domscheit

Authors
  1. Klaudia Jankowska
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  2. Tomasz Krzyzynski
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  3. Andreas Domscheit
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    K. Wojciechowski

  2. Silesian University of Technology, Gliwice, Poland

    B. Smolka

  3. Silesian University of Technology, Gliwice, Poland

    H. Palus

  4. The University of Western Australia, Crawley, Australia

    R.S. Kozera

  5. Warsaw University of Technology, Warsaw, Poland

    W. Skarbek

  6. The University of Western Australia, Crawley, Australia

    L. Noakes

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© 2006 Springer

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Jankowska, K., Krzyzynski, T., Domscheit, A. (2006). VISION-BASED ANALYSIS OF THE TIRE FOOTPRINT SHAPE. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_8

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_8

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-4178-5

  • Online ISBN: 978-1-4020-4179-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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