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Annual Conference on Artificial Intelligence

KI 1994: KI-94: Advances in Artificial Intelligence pp 1–15Cite as

AI approaches towards sensor-based driver support in road vehicles

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 861))

Abstract

The concept of a sensor-based support system for drivers of road vehicles is outlined and subsequently refined step by step. The refinement steps emphasize the necessity to treat this problem on a conceptual rather than on a signal processing level. Moreover, this approach emphasizes the systems aspect. As a consequence, the challenge to AI is seen at the systems level. Various recent developments are pointed out which support the hypothesis that a combination of recent progress in formal logic, natural language processing, knowledge representation, and image sequence understanding can contribute substantially to experimental as well as theortical work in the design of driver support systems.

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Author information

Authors and Affiliations

  1. Fraunhofer-Institut für Informations- und Datenverarbeitung (IITB), Fraunhoferstr. 1, D-76131, Karlsruhe

    H. -H. Nagel

  2. Fakultät für Informatik der Universität Karlsruhe (TH), Institut für Algorithmen und Kognitive Systeme, Germany

    H. -H. Nagel

Authors
  1. H. -H. Nagel
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Editor information

Bernhard Nebel Leonie Dreschler-Fischer

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© 1994 Springer-Verlag Berlin Heidelberg

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Nagel, H.H. (1994). AI approaches towards sensor-based driver support in road vehicles. In: Nebel, B., Dreschler-Fischer, L. (eds) KI-94: Advances in Artificial Intelligence. KI 1994. Lecture Notes in Computer Science, vol 861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58467-6_1

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  • DOI: https://doi.org/10.1007/3-540-58467-6_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58467-4

  • Online ISBN: 978-3-540-48979-5

  • eBook Packages: Springer Book Archive

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