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Introducing contextual information in multisensor tracking algorithms

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Advances in Intelligent Computing — IPMU '94 (IPMU 1994)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 945))

Abstract

Perception systems used in fields like robotics and aircraft tracking have recently been developing toward the use of combined sensors of different kinds. Nevertheless, the measurement management of such systems has to be adapted to the sensors used, and particularly to all modifications in the utilization conditions. For this task we propose here to use a set of heuristics to modify the operation of a Kalman filter dedicated to air vehicle tracking.

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Author information

Authors and Affiliations

  1. ONERA BP 72, Chatillon Cedex, France

    V. Nimier

Authors
  1. V. Nimier
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Editor information

Bernadette Bouchon-Meunier Ronald R. Yager Lotfi A. Zadeh

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© 1995 Springer-Verlag Berlin Heidelberg

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Nimier, V. (1995). Introducing contextual information in multisensor tracking algorithms. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Advances in Intelligent Computing — IPMU '94. IPMU 1994. Lecture Notes in Computer Science, vol 945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035992

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  • DOI: https://doi.org/10.1007/BFb0035992

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60116-6

  • Online ISBN: 978-3-540-49443-0

  • eBook Packages: Springer Book Archive

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