Skip to main content

Fuzzy concepts for predicting the behaviour of other drivers on a highway

  • Conference paper
  • First Online:
Fuzzy Logic in Artificial Intelligence (FLAI 1993)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 695))

Included in the following conference series:

Abstract

The task to solve is the automatic “safe” guidance of an autonomous mobile vehicle along a German highway (AUTOBAHN) at moderate to high speed. To assist the necessary decision making process of how to behave “safely” in an actual traffic situation, data about the road itself (e.g. number of lanes, lane width, lane markings), traffic signs and other traffic participants around the own car have to be gathered, represented and interpreted appropriately. In this contribution fuzzy concepts are suggested in the development and use of part of an internal world model, based on which sensor data about other traffic participants can be evaluated and a prediction of their short to medium range future behaviour (i.e. their expected movements) can be derived such that decisions about the own future behaviour can be drawn.

The research was performed while the author was at the Universität der Bundeswehr München, 8014 Neubiberg

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Dickmanns E.D.: Computer Vision in Road Vehicles — Chances and Problems, ICTS-Symposium on “Human Factors Technology for Next-Generation Transportation Vehicles”, Amalfi, Italy, June 16–20, 1986.

    Google Scholar 

  2. Dickmanns E.D.: Object Recognition and Real-Time Relative State Estimation Under Egomotion, Paper presented at the NATO Advanced Research Workshop on “Real-Time Object Recognition...”, Maratea, Italy, Aug. 31–Sept.4, 1987.

    Google Scholar 

  3. Dickmanns, E.D.: 4D dynamic vision for intelligent motion control. In: C. Harris (Ed.): Special issue of the Int. Journal for Engineering Aplications of AI (IJEAAI) on ‘Intelligent Autonomous Vehicle Research', 1991.

    Google Scholar 

  4. Graefe, V., Kuhnert, K.D.: Vision-based autonomous road vehicles. In: I.Masaki (Ed.): Vision-based vehicle guidance, Springer-Verlag, Berlin, 1992, p. 1–29.

    Google Scholar 

  5. Heinz, S., Richter, D.: Entwicklung eines echtzeitfähigen Prognosemoduls für das Verhalten von Verkehrs-teilnehmern mit Hilfe von Methoden der Fuzzy-Logik, Diplomarbeit, Universität der Bundeswehr München, Fachbereich Informatik, Neubiberg, September 1992.

    Google Scholar 

  6. Kandel, A.(ed): Fuzzy Expert Systems, CRC Press, Boca Raton, FL/USA, 1991.

    Google Scholar 

  7. Kruse, R., Meyer, K.D.: Statistics with Vague Data, D. Reidel Publ. Comp., Dordrecht, 1987.

    Google Scholar 

  8. Lee, C.C.: Fuzzy Logic in Control Systems; Fuzzy Logic Controller, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 20; No.2, March/April 1990, p. 404–435.

    Google Scholar 

  9. Mayer, A., Mechler, B., Schlindwein, A., Wolke, R.: Fuzzy Logic,-Einführung und Leitfaden zur praktischen Anwendung, Addison-Wesley Publ. Comp., Bonn, Paris, Reading/Mass., 1993.

    Google Scholar 

  10. Mündemann, F.: A Uniform Layered Software Architecture for Knowledge Processing of Higher System Levels within the AUTOBAHN-AUTOPILOT, 3rd PROMETHEUS Workshop, Compiegne, October 1991.

    Google Scholar 

  11. Mündemann, F.: Checking the safety envelope, — a prediction based concept for collision avoidance, 3rd PROMETHEUS workshop on collision avoidance, Nürtingen, June 1992.

    Google Scholar 

  12. Niegel, W.: Knowledge processing at higher system levels of autonomous road vehicles, Conf. on Autonomous Intelligent Vehicles, Southampton, April 1993 (to be published).

    Google Scholar 

  13. Zadeh, L.: Fuzzy Sets, Information and Control, 1965.

    Google Scholar 

  14. Zadeh, L.: Knowledge Representation in Fuzzy Logic, IEEE Transactions on Knowledge and Data Engineering, Vol. 1, No. 1, March 1989, p. 89–100.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Erich P. Klement Wolfgang Slany

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mündemann, F. (1993). Fuzzy concepts for predicting the behaviour of other drivers on a highway. In: Klement, E.P., Slany, W. (eds) Fuzzy Logic in Artificial Intelligence. FLAI 1993. Lecture Notes in Computer Science, vol 695. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56920-0_18

Download citation

  • DOI: https://doi.org/10.1007/3-540-56920-0_18

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56920-6

  • Online ISBN: 978-3-540-47782-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics