You have a GPS tracker on the car, but it’s a bit "jittery" and fluctuates.

The Kalman filter is a recursive algorithm that uses a combination of prediction and measurement updates to estimate the state of a system. It takes into account the uncertainty of the measurements and the system dynamics to produce an optimal estimate of the state.

: Uses the previous state and a physical model to guess where the system will be next. Correction (Update)

Kalman Filter For Beginners: With Matlab Examples Download Top |work|

You have a GPS tracker on the car, but it’s a bit "jittery" and fluctuates.

The Kalman filter is a recursive algorithm that uses a combination of prediction and measurement updates to estimate the state of a system. It takes into account the uncertainty of the measurements and the system dynamics to produce an optimal estimate of the state. You have a GPS tracker on the car,

: Uses the previous state and a physical model to guess where the system will be next. Correction (Update) You have a GPS tracker on the car,