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The confluence of vision and control pp 210–229Cite as

Dynamic vision merging control engineering and AI methods

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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 237))

Abstract

A survey is given on two decades of development in the field of dynamic machine vision for vehicle control. The ‘4-D approach’ developed integrates expectation-based methods from systems dynamics and control engineering with methods from AI. Dynamic vision is considered to be an animation process exploiting background knowledge about dynamical systems while analysing image sequences and inertial measurement data simultaneously; this time oriented approach has allowed to create vehicles with unprecedented capabilities in the technical realm: Autonomous road vehicle guidance in public traffic on freeways at speeds beyond 130 km/h, on-board-autonomous landing approaches of aircraft, and landmark navigation for AGV’s as well as for road vehicles including turn-offs onto cross-roads.

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References

  1. R. Behringer: Visuelle Erkennung und Interpretation des Fahrspurverlaufes durch Rechnersehen für ein autonomes Straenfahrzeug. PhD thesis, UniBwM, LRT, 1996.

    Google Scholar 

  2. Dirk Dickmanns: Rahmensystem für visuelle Wahrnehmung veränderlicher Szenen durch Computer. PhD thesis, UniBwM, INF, 1997.

    Google Scholar 

  3. D. DeCarlo and D. Metaxas: The Integration of Optical Flow and Deformable Models with Applications to Human Face Shape and Motion Estimation. IEEE Computer Society Conference on Computer vision and Pattern Recognition, San Francisco, CA, June 1996, pp 231–238.

    Google Scholar 

  4. E.D. Dickmanns: 4-D-Dynamic Scene Analysis with Integral Spatio-Temporal Models. 4th Int. Symposium on Robotics Research, Santa Cruz, 1987.

    Google Scholar 

  5. E.D. Dickmanns: Subject-Object Discrimination in 4-D Dynamic Scene Interpretation Machine Vision. Proc. IEEE-Workshop on Visual Motion, Newport Beach, 1989, pp 298–304.

    Google Scholar 

  6. E.D. Dickmanns: Machine Perception Exploiting High-Level Spatio-Temporal Models. AGARD Lecture Series 185 ‘Machine Perception', Hampton, VA, Munich, Madrid, Sept./Oct. 1992.

    Google Scholar 

  7. E.D. Dickmanns: Performance Improvements for Autonomous Road Vehicles. Int. Conference on Intelligent Autonomous Systems (IAS-4), Karlsruhe, 1995.

    Google Scholar 

  8. E.D. Dickmanns: Road vehicle eyes for high precision navigation. In Linkwitz et al. (eds): High Precision Navigation. Dümmler Verlag, Bonn, 1995, pp. 329–336.

    Google Scholar 

  9. E.D. Dickmanns, V. Graefe: Dynamic monocular machine vision. Machine Vision and Applications, Springer International, Vol. 1, 1988, pp 223–240. b) Applications of dynamic monocular machine vision. (ibid), 1988, pp 241–261.

    Article  Google Scholar 

  10. E.D. Dickmanns and N. Müller: Scene Recognition and Navigation Capabilities for Lane Changes and Turns in Vision-Based Vehicle Guidance. Control Engineering Practice, 2nd IFAC Conf. on Intelligent Autonomous Vehicles-95, Helsinki 1995.

    Google Scholar 

  11. E.D. Dickmanns and A. Zapp: Autonomous High Speed Road Vehicle Guidance by Computer Vision. 10th IFAC World Congress Munich, Preprint Vol. 4, 1987, pp 232–237.

    Google Scholar 

  12. C. Hock: Wissensbasierte Fahrzeugführung mit Landmarken für autonome Roboter. PhD thesis, UniBwM, LRT, 1994.

    Google Scholar 

  13. T. Kailath: Linear Systems. Prentice-Hall, Inc., Englewood Cliffs, N.J., 1980.

    MATH  Google Scholar 

  14. D.G. Luenberger: Observing the state of a linear system. IEEE Trans on Mil. Electronics 8, 1964, pp 290–293.

    Google Scholar 

  15. H.G. Meissner and E.D. Dickmanns: Control of an Unstable Plant by Computer Vision. In T.S. Huang (ed): Image Sequence Processing and Dynamic Scene Analysis. Springer-Verlag, Berlin, 1983, pp 532–548.

    Google Scholar 

  16. Müller N.: Autonomes Manövrieren und Navigieren mit einem sehenden Straenfahrzeug. PhD thesis, UniBwM, LRT, 1996.

    Google Scholar 

  17. J. Schiehlen: Kameraplattformen für aktiv sehende Fahrzeuge. PhD thesis, UniBwM, LRT, 1995.

    Google Scholar 

  18. F. Thomanek F.: Visuelle Erkennung und Zustandsschätzung von mehreren Straenfahrzeugen zur autonomen Fahrzeugführung. PhD thesis, UniBwM, LRT, 1996.

    Google Scholar 

  19. S. Werner, S. Fürst, D. Dickmanns, and E.D. Dickmanns: A vision-based multi-sensor machine perception system for autonomous aircraft landing approach. Enhanced and Synthetic Vision, AeroSense’ 96, Orlando, FL, April 1996.

    Google Scholar 

  20. S. Werner: Maschinelle Wahrnehmung für den bordautonomen automatischen Hubschauberflug. PhD thesis, UniBwM, LRT, 1997.

    Google Scholar 

  21. H.-J. Wuensche: Verbesserte Regelung eines dynamischen Systems durch Auswertung redundanter Sichtinformation unter Berücksichtigung der Einflüsse verschiedener Zustandsschätzer und Abtastzeiten. Report HSBw/LRT/WE 13a/IB/83-2, 1983.

    Google Scholar 

  22. H.-J. Wuensche: Detection and Control of Mobile Robot Motion by Real-Time Computer Vision. In N. Marquino (ed): Advances in Intelligent Robotics Systems. Proceedings of the SPIE, Vol. 727, 1986, pp 100–109.

    Google Scholar 

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Authors and Affiliations

  1. Universität der Bundeswehr München, D-85577, Neubiberg, Germany

    Ernst D. Dickmanns

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  1. Ernst D. Dickmanns
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David J. Kriegman PhD Gregory D. Hager PhD A. Stephen Morse PhD

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© 1998 Springer-Verlag

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Dickmanns, E.D. (1998). Dynamic vision merging control engineering and AI methods. In: Kriegman, D.J., Hager, G.D., Morse, A.S. (eds) The confluence of vision and control. Lecture Notes in Control and Information Sciences, vol 237. Springer, London. https://doi.org/10.1007/BFb0109674

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  • DOI: https://doi.org/10.1007/BFb0109674

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-025-5

  • Online ISBN: 978-1-84628-528-8

  • eBook Packages: Springer Book Archive

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