Question: You are developing a Kalman filter to estimate the position of a self-driving car which is assumed to run straight at approximately constant speed. A

You are developing a Kalman filter to estimate the position of a self-driving car which is assumed to run straight at approximately constant speed. A sensor is equipped to provide the position of the car on the road.

Identify the states for the state transition model.

Identify the sources of the process noise and the measurement noise.

What conditions on the noises and the state transition models should be satisfied for Kalman filters to work successfully.

Explain why both the measurement and the state transition model should be used together to estimate the position of the car.

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