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Über die lernende Regelung autonomer Fahrzeuge mit neuronalen Netzen

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Autonome Mobile Systeme 2003

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

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Zusammenfassung

Ein genereller Ansatz für das Pfad-Folgeproblem bei autonomen Fahrzeugen wird vorgestellt. Mit Hilfe eines kinematischen Modells und der allgemeinen Lernfähigkeit eines künstlichen neuronalen Netzes wird ein adaptiver Regler entwickelt. Dieser Regler benötigt kein dynamisches Modell des Fahrzeuges, da es erlernt wird. Die Funktion des theoretischen Konzepts wird in Experimenten auf dem Fahrsimulator verifiziert.

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Author information

Authors and Affiliations

  1. Institute for Real-Time Learning Systems Dept. of Electronic and Computer Engineering, University of Siegen, Germany

    Klaus-Dieter Kuhnert & Wenjie Dong

Authors
  1. Klaus-Dieter Kuhnert
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  2. Wenjie Dong
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Editor information

Editors and Affiliations

  1. Lehrstuhl für Industrielle Anwendungen der Informatik und Mikrosystemtechnik (IAIM), Technologiefabrik Universität Karlsruhe(TH), Haid-und-Neu-Str. 7, 76131, Karlsruhe, Germany

    Rüdiger Dillmann  & Tilo Gockel  & 

  2. Institut für Prozessrechentechnik, Automation und Robotik (IPR), Geb. 40.28, Universität Karlsruhe (TH), 76128, Karlsruhe, Germany

    Heinz Wörn

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© 2003 Springer-Verlag Berlin Heidelberg

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Kuhnert, KD., Dong, W. (2003). Über die lernende Regelung autonomer Fahrzeuge mit neuronalen Netzen. In: Dillmann, R., Wörn, H., Gockel, T. (eds) Autonome Mobile Systeme 2003. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18986-9_12

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  • DOI: https://doi.org/10.1007/978-3-642-18986-9_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20142-7

  • Online ISBN: 978-3-642-18986-9

  • eBook Packages: Springer Book Archive

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