: It accounts for "noise" in both the movement (like a sudden gust of wind) and the sensors (like GPS interference).
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Why Use Kalman Filters? | Understanding Kalman Filters, Part 1 : It accounts for "noise" in both the
: It uses a mathematical model of the system (like physics equations for velocity) to guess where the object will be in the next moment. check out this guide:
For a clear visual breakdown of how these filters solve real-world problems like landing on the moon or tracking a self-driving car, check out this guide: