Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications

By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be transformed into an algebraically simple form, which allows for computationally efficient algorithms. Three problem settings are discussed in this thesis: (1) filtering with Gaussians only, (2) Gaussian mixture f...

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Superior document:Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
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Year of Publication:2015
Language:English
Series:Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
Physical Description:1 electronic resource (V, 270 p. p.)
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spelling Huber, Marco auth
Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
Nonlinear Gaussian Filtering
KIT Scientific Publishing 2015
1 electronic resource (V, 270 p. p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be transformed into an algebraically simple form, which allows for computationally efficient algorithms. Three problem settings are discussed in this thesis: (1) filtering with Gaussians only, (2) Gaussian mixture filtering for strong nonlinearities, (3) Gaussian process filtering for purely data-driven scenarios. For each setting, efficient algorithms are derived and applied to real-world problems.
English
Zustandsschätzung
GaußprozesseBayesian statistics
Kalman filter
Gaussian processes
Kalman-Filter
state estimation
filtering
Bayes'sche Statistik
3-7315-0338-7
language English
format eBook
author Huber, Marco
spellingShingle Huber, Marco
Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
author_facet Huber, Marco
author_variant m h mh
author_sort Huber, Marco
title Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
title_full Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
title_fullStr Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
title_full_unstemmed Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
title_auth Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
title_alt Nonlinear Gaussian Filtering
title_new Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
title_sort nonlinear gaussian filtering : theory, algorithms, and applications
series Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
series2 Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
publisher KIT Scientific Publishing
publishDate 2015
physical 1 electronic resource (V, 270 p. p.)
isbn 1000045491
3-7315-0338-7
illustrated Not Illustrated
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is_hierarchy_title Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
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