Introduction In the spring of 2001 the Kalman Filter team of UNC-CH COMP 145 developed a Java-based Kalman Filter Learning Tool that (we hope) will provide some understanding and intuition about the behavior of the Kalman filter. Because the software is to be primarily used as a teaching aid, we have attempted to keep the interface relatively simple. The input choices are limited to avoid overwhel