The Kalman filter is a mathematical method. Its purpose is to reduce noise and randomness in collected data, making the recorded data closer to the actual.

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You can use a Kalman filter in any place where you have uncertain information about some dynamic system, and you can make an educated guess about what the system is going to do next.