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Kalman Filter
Alex Dickhans edited this page Oct 3, 2022
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Kalman filters are a way of both combining a variety of sensor values with others, and reducing noise in the end measurement. Kalman filters use estimates based on sensor values and models of the robot.
Determines how we should combine the measurements and expected values. A new kalman gain is calculated on each step.
https://wiki.purduesigbots.com/software/control-algorithms/kalman-filter
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