GP-SUM. Gaussian Processes Filtering of non-Gaussian Beliefs

23 Sep 2017 Maria Bauza Alberto Rodriguez

This work studies the problem of stochastic dynamic filtering and state propagation with complex beliefs. The main contribution is GP-SUM, a filtering algorithm tailored to dynamic systems and observation models expressed as Gaussian Processes (GP), and to states represented as a weighted sum of Gaussians... (read more)

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