Don't panic. Here are the 5 equations you will implement in MATLAB:
You can download and run these beginner-friendly scripts directly: Don't panic
It calculates a —a dynamic weight. If the measurement is very noisy (camera blurry), the gain is low, and we trust the prediction more. If the model is uncertain (the car might have hit a wall), the gain is high, and we trust the camera more. the gain is low
% True State (What actually happens) true_velocity = 2; % Moving 2 meters per second initial_position = 0; the gain is high
This example demonstrates how to implement a simple Kalman filter in MATLAB to estimate a sinusoidal state.
