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Robotics - Localization & Bayesian Filtering - AIRLab - Politecnico di ...

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Introduction Taxonomy Probability Recall Bayes Rule <strong>Bayesian</strong> <strong>Filtering</strong> Markov <strong>Localization</strong>26/58Total probability, marginalsTotal probability:∫ ∞ · · · ∫ ∞x 1 =−∞ x fx n=−∞ 1...x n (x 1, . . . , x n)dx 1 . . . dx n = 1Marginal <strong>di</strong>stribution:∫ ∞fx,y (x, y)dx = fy (y)−∞∫ ∞fx,y (x, y)dy = fx(x)−∞Marginal <strong>di</strong>stribution with con<strong>di</strong>tioning:∫ ∞−∞ f y|x(y|x)f x(x)dx = f y (y)∫ ∞−∞ f x|y (x|y)f y (y)dy = f x(x)

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