Eugene S. McVey

TL;DR: A measure of information is developed based on the estimation entropy utilizing the Kalman filter state estimator that can be used to determine which process to observe in order to maximize a measure of global information flow.

TL;DR: Research on the semiautonomous operation of mobile robots in typical pathways is described, and a method to separate obstacles from shadows using stere vision is presented.

TL;DR: A detailed distance measurement synthesis procedure to meet system specifications is presented and illustrated with an example and an error analysis shows that error is proportional to distance.

TL;DR: A method is presented for increasing the accuracy of position and velocity detecting systems which make use of pattern recognition principles due to the binary nature of receptor elements which causes the receptor to have a nonlinear transfer characteristic.

TL;DR: The use of a contrasting line for the visual navigation of autonomous mobile robots in a factory environment is developed and minimum and maximum linewidths are determined analytically by considering sensor geometry, field of view, and error conditions present in the system.