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Sonardaten-Integration für autonome mobile Roboter

  • Conference paper
Book cover Mustererkennung 1998

Part of the book series: Informatik aktuell ((INFORMAT))

Zusammenfassung

In dieser Arbeit wird ein Echtzeitverfahren zur Sonardaten-Integration und Aufbau von Gitterkarten anhand eines probabilistischen vierdimensionalen Sonar-Modells vorgestellt. Das Sonar-Modell berücksichtigt das Verhalten des Ultraschallsensors während der Roboterbewegung in der realen Umgebung. Experimente zeigen die hohe Genauigkeit aufgebauter Gitterkarten und die Robustheit des Verfahrens gegenüber den stark verrauschten Ultraschall- Daten.

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Literatur

  1. Jorg94] Klaus-Werner Jörg: Echtzeitfähige Multisensorintegration für autonome mobile Roboter, Wissenschaftsverlag, 1994.

    Google Scholar 

  2. BeeSoft97] User’s Guide and Software Reference, Real World Interface, Inc, 1997

    Google Scholar 

  3. Bronstein I.N., Semendjaew K.A.: Taschenbuch der Mathematik, Thun, Frankfurt/Main, 1987.

    Google Scholar 

  4. Elfes87] Elfes,A.: Sonar-Based Real-World Mapping and Navigation, IEEE, Journal of Robotics and Automation, Vol. RA-3, No. 3, June 1987, pp. 249–265.

    Google Scholar 

  5. Howard96] Andrew Howard, Les Kitchen: Sonar Mapping for Mobile Robots, The University of Melbourne, Technical Report 96/34.

    Google Scholar 

  6. Paulo Menezes, Jorge Dias, Helder Araujo,Anibal de Almeida: Low Cost Sensor Based Obstacle Detection and Description Experiments with Mobile Robots using Grid Representation, Proceedings of the Fouth international Symposium on Experimental Robotics, ISER’95, Stanford, USA, August 1995.

    Google Scholar 

  7. Moita94] F.Moita,A.Feijao,U.Nunes,A.T.Almeida: Modelling and Calibration of an Ultrasonic Ranging System of a Mobile Robot, Associagao Portuguesa de Controlo Automático Int. Conf. - Controlo 94,1.S.T., Lisbon, September 14-16, 1994.

    Google Scholar 

  8. Pagac96] Pagac D., Nebot E., Durrant-Whyte H.: A Evidential approach to probabilistic map-building, IEEE International Conference on Robotics and Automation, April 1996, Minneapolis, Minnesota, pp. 745-750.

    Google Scholar 

  9. Soika96] Martin Soika: Gitterkartenbasierte Fehlererkennung und Kalibrierung für Umgebungssensoren autonomer mobilen Systeme (AMS), Autonome mobile Systeme, 1996, pp. 38-46.

    Google Scholar 

  10. Thrun S., Bücken A.: Integrating Grid-Based and Topological Maps for Mobile Robot Navigation, Proc. of the Thirteenth National Conference on Artificial Intelligence AAAI, Portland, Oregon, August 1996.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Lehrstuhl Rechnerarchitektur, Universität Tübingen, Wilhelm-Schickard-Institut für Informatik, Köstlinstraße 6, D-72074, Tübingen, Germany

    Alexander Mojaev & Andreas Zell

Authors
  1. Alexander Mojaev
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  2. Andreas Zell
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Editor information

Editors and Affiliations

  1. IPVR - Institute für Parallele und Verteilte Höchstleistungsrechner, Universität Stuttgart, Breitwiesenstrasse 20-22, D-70565, Stuttgart, Germany

    Paul Levi  & Michael Schanz  & 

  2. AEG Sensorsysteme GmbH, Junkerstrasse 2, D-69469, Weinheim, Germany

    Rolf-Jürgen Ahlers

  3. Daimler Benz AG FT3/E, Wilhelm-Runge-Strasse 11, D-89081, Ulm, Germany

    Franz May

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© 1998 Springer-Verlag Berlin Heidelberg

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Mojaev, A., Zell, A. (1998). Sonardaten-Integration für autonome mobile Roboter. In: Levi, P., Schanz, M., Ahlers, RJ., May, F. (eds) Mustererkennung 1998. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72282-0_62

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  • DOI: https://doi.org/10.1007/978-3-642-72282-0_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64935-9

  • Online ISBN: 978-3-642-72282-0

  • eBook Packages: Springer Book Archive

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