An Expectation-based, Multi-focal, Saccadic (EMS) Vision System for Vehicle Guidance

  • Ernst D. Dickmanns

Abstract

The ‘MarVEye’ camera configuration realized with three to four conventional miniature CCD-TV-cameras mounted fix relative to each other on a high bandwidth pan-and-tilt platform is discussed. A saccadic type of vision with intermittent phases of fast saccades and smooth pursuit does complicate image sequence interpretation; however, with explicit spatio-temporal representations available in the 4-D approach this can be handled in a straightforward way. The newly developed machine vision system based on COTSPC-hardware and object-oriented programming is presented. Applications in the field of road vehicle guidance are discussed.

Keywords

Smooth Pursuit Vehicle Guidance Angular Rate Sensor Perspective Mapping Saccadic Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    Dickmanns, E.D.: Performance Improvements for Autonomous Road Vehicles. Int. Conf. on Intelligent Autonomous Systems (IAS-4), Karlsruhe, 1995Google Scholar
  2. [2]
    Dickmanns, E.D.: Road vehicle eyes for high precision navigation. In Linkwitz et al. (eds): High Precision Navigation. Dümmler Verlag, Bonn, 1995, pp 329–336Google Scholar
  3. [3]
    Schiehlen, J.: Kameraplattformen für aktiv sehende Fahrzeuge. Dissertation UniBw München, LRT, 1995Google Scholar
  4. [4]
    Dickmanns, E.D.: „Parallel Use of Differential and Integral Representations for Realising Efficient Mobile Robots“. 7th International Symposium on Robotics Research, Munich, Oct. 1995Google Scholar
  5. [5]
    Dickmanns, E.D. and Wünsche, H.-J.: Dynamic vision for Perception and Control of Motion. In Jaehne (ed.): Handbook of Computer Vision and Applications, Vol. 3: Systems and Applications. Acad. Press, 1999, pp. 569–620Google Scholar
  6. [6]
    Dickmanns, Dirk: Rahmensystem für visuelle Wahrnehmung veränderlicher Szenen durch Computer. Dissertation, UniBwM, Informatik, 1997Google Scholar
  7. [7]
    Baten, S.: Erkennung der vertikalen Oberflächenstruktur zur Navigation im Gelände. Dissertation, UniBw Munich, LRT (to appear)Google Scholar
  8. [8]
    Maurer, M.: Flexible Automatisierung von Straßenfahrzeugen mit Rechnersehen. Dissertation, UniBw Munich, LRT (to appear)Google Scholar
  9. [9]
    Werner, S.: Maschinelle Wahrnehmung für den bordautonomen automatischen Hubschrauberflug. Dissertation, UniBw Munich, LRT, 1997Google Scholar
  10. [10]
    Fürst, S. and Dickmanns, E.D.:A vision based navigation system for autonomous aircraft. Robotics and Autonomous Systems 28, Elsevier, 1999, pp. 173–184CrossRefGoogle Scholar
  11. [11]
    Thomanek, F.; Dickmanns, E.D.; Dickmanns, D.: Multiple Object Recognition and Scene Interpretation for Autonomous Road Vehicle Guidance. In: I. Masaki (ed.): Proc. of the Internat. Symp. on ‚Intelligent Vehicles‘, Paris, France, 1994, pp. 231–236CrossRefGoogle Scholar
  12. [12]
    Behringer, R.: Road Recognition from Multi-focal Vision. In: I. Masaki (ed.): Proc. of the Intemat. Symp. on ‚Intelligent Vehicles‘, Paris, France, 1994, pp. 302–307CrossRefGoogle Scholar
  13. [13]
    Albus, J.; Meystel, A.M.: A Reference Model Architecture for Design and Implementation of Intelligent Control in Large and Complex Systems. Internat. Journal of Intelligent Control Systems, Vol. 1, No. 1, 1996, pp 15–30CrossRefGoogle Scholar
  14. [14]
    Lützeler, M.; Dickmanns, E.D.: Robust Road Recognition with MarVEye. In: I. Masaki (ed.): Proc. of the Internat. Symp. on ‚Intelligent Vehicles‘, Stuttgart, Germany, Oct. 1998Google Scholar
  15. [15]
    Rieder, A.: Fahrzeuge sehen — multisensorielle Objekterkennung in verteilten Systemen. Dissertation UniBw Munich, LRT (to appear)Google Scholar
  16. [16]
    Rieder, A.: Trinocular Divergent Stereo Vision. 13th International Conf. on Pattern Recognition, Vienna, Austria, August 1996Google Scholar

Copyright information

© Springer-Verlag London 2000

Authors and Affiliations

  • Ernst D. Dickmanns
    • 1
  1. 1.UniBw MunichLRT/ISFNeubibergGermany

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