Kalman Filter
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May 1, 2024
Updated May 11, 2025
22 minute read
The Kalman Filter is a powerful mathematical tool used to estimate the state of a dynamic system from a series of incomplete and noisy measurements. Imagine trying to track a fast-moving object in a blurry video – the Kalman Filter helps to cut through the "noise" and predict where the object is and where it's going with remarkable accuracy. It achieves this by continuously updating its estimate based on new measurements, while also accounting for the inherent uncertainties in both the system's behavior and the measurements themselves. This recursive process allows it to refine its predictions over time, making it an indispensable algorithm in a wide array of fields.
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