If you have ever wondered how a GPS knows exactly where you are even when the signal is noisy, or how a robot balances itself, the answer is likely the Kalman Filter.
He didn’t fully understand the math yet, but he saw the result: the blue line followed the truth like a shadow, ignoring the sensor’s wild jumps. The Kalman Filter for Beginners: A MATLAB Tutorial
A Guess (Prediction): Based on how you think the system moves (e.g., "The car should be here based on its last known speed"). Where: The Kalman filter has several key components:
git clone https://github.com/balzer82/Kalman MATLAB.zip
Where:
The Kalman filter has several key components: run the examples
Download the code now, run the examples, and watch the blue line conquer the red noise. Welcome to the world of state estimation.
The Question: Are you going 50, 52, or something in between?