Year

1999

Degree Name

Doctor of Philosophy

Department

School of Information Technology and Computer Science

Abstract

Environment sensing and perception is an active area of study because advances in automation depend on them. In addition, new transducers and increased processing power coupled with theoretical advances make new and better perception systems possible. These systems can bring improvements in both safety and productivity in the work place as well as the home. This thesis is the necessary pre-work for the implementation of a new machine perception system with potential application in mobile robotics.

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