Bayes filter

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A general framework for state estimation consisting of two main steps: prediction and correction. It iteratively estimates the state by combining control inputs and measurement data.

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

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

Stanford Online

A general framework for state estimation consisting of two main steps: prediction and correction. It iteratively estimates the state by combining control inputs and measurement data.