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Electronic engineering / Control theory / Robot control / Linear filters / Monte Carlo methods / Particle filter / Recursive Bayesian estimation / Gaussian process / Collision / Statistics / Signal processing / Estimation theory


Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals Christian Plagemann 1 Dieter Fox 2
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Document Date: 2007-11-05 10:06:33

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File Size: 271,58 KB

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Carcassonne / /

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Neural Information Processing Systems / Neural Networks / MIT Press / /

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Germany / France / United States / United Kingdom / /

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University of Washington Department / University Department / University of Cambridge / University of Toronto / /

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wireless phone network / online failure detection problem / cellular networks / nonlinear jump markov systems / autonomous systems / namely computing / online state estimation approaches / detection algorithms / algorithms / online failure detection / /

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set 500 / /

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German Ministry for Education and Research / USC Center for Robotics and Emb / National Science Foundation / MIT / University of Cambridge / Albert-Ludwigs-University Department of Computer Science Freiburg / Univ. of Toronto / University of Toronto / University of Washington Department of Computer Science & Engineering Seattle / /

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M. Grigoras / V / /

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D.J. / waiter / /

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Sussex / /

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the Machine Learning / Machine Learning / /

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detection algorithms / Machine Learning / pdf / laser / proposed algorithm / simulation / /

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