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: It can estimate things you can't measure directly—for example, estimating the internal temperature of a jet engine by looking at external sensors.

Imagine you are trying to track a car’s position using two sensors: a GPS that is accurate but slow, and an odometer that is fast but "drifts" over time. Neither is perfect. The Kalman filter is the mathematical "genius" that combines these two noisy sources to find the most likely true position. How It Works: A Two-Step Dance The algorithm operates in a continuous loop of two stages: kalmam

Why Use Kalman Filters? | Understanding Kalman Filters, Part 1 YouTube• Jan 31, 2017 : It can estimate things you can't measure