One step of a 1D Kalman filter

Medium · Whiteboard

A robot on a line believes its position is 0 with variance 1. It commands a move of +1 with motion noise variance 0.5. Then a sensor measures position 2 with variance 1.5. Do the predict and update steps by hand. What is the final estimate and variance, and what does the Kalman gain mean?

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