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: It accounts for "noise" in both the movement (like a sudden gust of wind) and the sensors (like GPS interference).

Why Use Kalman Filters? | Understanding Kalman Filters, Part 1 YouTube• Jan 31, 2017 kalmam

: It only needs the very last estimate to calculate the next one, rather than a whole history of data. This makes it ideal for tiny embedded systems. : It accounts for "noise" in both the

: It can estimate things you can't measure directly—for example, estimating the internal temperature of a jet engine by looking at external sensors. Part 1 YouTube• Jan 31

Why Use Kalman Filters? | Understanding Kalman Filters, Part 1