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This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and stati
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Beyond the Kalman Filter: Particle Filters for Tracking Applications
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For most tracking applications the Kalman filter is reliable and efficient, but it is limited to a relatively restricted class of linear Gaussian problems. To s
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Bayesian Estimation and Tracking
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A practical approach to estimating and tracking dynamicsystems in real-worl applications Much of the literature on performing estimation for non-Gaussiansystems