Unscented Kalman Filter

Software / App

An alternative to the Extended Kalman Filter for non-linear systems that approximates the Gaussian distribution using carefully chosen particles (sigma points) and propagates them through the non-linear transformations, often proving more robust.

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Videos Mentioning Unscented Kalman Filter

Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Parametric Filtering

Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Parametric Filtering

Stanford Online

An alternative to the Extended Kalman Filter for non-linear systems that approximates the Gaussian distribution using carefully chosen particles (sigma points) and propagates them through the non-linear transformations, often proving more robust.