Skip to main content
SpringerLink
Log in

A Knowledge Based System for Traffic Sign Recognition

  • Conference paper
Mustererkennung 1990

Part of the book series: Informatik-Fachberichte ((INFORMATIK,volume 254))

Abstract

A computer vision task is considered consisting of the analysis of coloured outdoor image sequences acquired by a car mounted camera. The images have to be analysed with respect to the occurence of traffic signs. The signs appearing in the visual field of the optical sensor have to be detected and recognized, text and symbols should be interpreted.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ballard, D.H., Brown, C.M., Computer Vision, Prentice-Hall, Inc. 1982

    Google Scholar 

  2. Hanson, A.R., Riseman, E.M., Computer Vision Systems, Academic Press, 1978

    Google Scholar 

  3. Niemann, H., Pattern Analysis, Springer Verlag, 1981

    Google Scholar 

  4. Blanz, W.E., Bildsegmentation durch Texturanalyse, Dissertation, Universität Stuttgart, 1983

    Google Scholar 

  5. Bartneck, N., Ein Verfahren zur Umsetzung der ikonischen Bildinformation digitalisierter Bilder in Datenstrukturen zur Bildauswertung, Dissertation, Techn. Universität Braunschweig, 1987

    Google Scholar 

  6. Intelli Corp., KEE, Vers. 3.2. - Software Development System,Manuals, 1987

    Google Scholar 

  7. Ferranti Computer Systems Ltd., ART,Manuals, 1985

    Google Scholar 

  8. Brachman, R.J., Schmolze, J.G., An overview of the KL-ONE knowledge representation system, Cognitive science 9, 1985

    Google Scholar 

  9. Richter, M., Prinzipien der künstlichen Intelligenz, B.G. Teubner, 1989

    MATH  Google Scholar 

  10. Winston, P.H., Artifical Intelligence, Addison-Wesley, 1984

    Google Scholar 

  11. Kummert, F; Niemann, H.; Sagerer, G; Schriider, S, Werzeuge zur modellgesteuerten Bildanalyse und Wissensakquisition - Das System ERNEST- In Paul, M. (Editor): Computerintegrierter Arbeitsplatz im Büro; Springer-Verlag, 1987

    Google Scholar 

  12. Deutsche Straßenverkehrsordnung,1988

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Research Institute Ulm, Daimler Benz AG, Wilhelm-Runge-Str.11, 7900, Ulm, Germany

    Reinhard E. Gämlich & Werner Ritter

Authors
  1. Reinhard E. Gämlich
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Werner Ritter
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Forschung Elektronik-Informatik, Carl Zeiss, Carl-Zeiss-Straße, D-7082, Oberkochen, Deutschland

    Rudolf E. Großkopf

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gämlich, R.E., Ritter, W. (1990). A Knowledge Based System for Traffic Sign Recognition. In: Großkopf, R.E. (eds) Mustererkennung 1990. Informatik-Fachberichte, vol 254. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84305-1_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-84305-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53172-2

  • Online ISBN: 978-3-642-84305-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation