Department of Adaptive Systems

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Scientific Group "Decision-Making and Control under Uncertainty" (DCU)

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      Jiří Ajgl:

Multisensor Information Fusion
Tuesday, 15. 12. 2009, 14⁰⁰
room 474, UTIA ASCR

       The talk discusses information fusion in the probabilistic framework. The classical centralised multisensor approach is compared with distributed and decentralised cases. Estimates based on different data sets are fused under different criteria.
       The Distributed Kalman filter, Channel filter and Covariance intersection method are shown.

Ing. Jiří Ajgl
Západočeská univerzita v Plzni
Katedra kybernetiky
jiriajgl@kky.zcu.cz