Our initial introduction to the Kalman filter was easy to understand because both the motion and measurement models were assumed to be one-dimensional.  That’s great if you’re a lustrous point in Lineland, but the three dimensional world must be dealt with sooner or later.  Specifically, within the initial introduction, location (or state) x, [...]