kalman.correct(observation)
Step 3: Predict the Next State
The final step is to predict the next state of the system based on the current state and the process model:
kalman.predict()
This step updates the state of the Kalman filter to the next time step.
Example Code: Estimating the Position of a Moving Object
Let’s now see how to use the Kalman filter algorithm to estimate the position of a moving object in a 2D space. We will use OpenCV and Python to implement the Kalman filter algorithm.
