Progressive bayes: A new framework for nonlinear state estimation

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5099, Issue , 2003, Pages 256-267

  Hanebeck, Uwe D ^a   Briechle, Kai ^b   Rauh, Andreas ^c  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^c UNIVERSITY OF ULM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; OPTIMIZATION; ORDINARY DIFFERENTIAL EQUATIONS; RANDOM PROCESSES; STATE ESTIMATION; WHITE NOISE;

EXPLICIT ORDINARY FIRST-ORDER DIFFERENTIAL EQUATIONS; NONLINEAR STATE ESTIMATION; PROGRESSIVE BAYES;

PROBABILITY DENSITY FUNCTION;

EID: 0042827602     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.487806     Document Type: Conference Paper

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