Bayesian approaches to multi-sensor data fusion

Abstract

The field of multi-sensor data fusion is fairly young and has only recently been recognised as a separate branch of research. It has been considered from widely different perspectives by scientists of various theoretical backgrounds and interests. In fact, data fusion is a multi- disciplinary subject that draws from such areas as statistical estimation, signal processing, computer science, artificial intelligence, weapon systems, etc. The general problem arising in all these cases is one of how to combine, in the best possible manner, diverse and uncertain measurements and other information available in a multi-sensor system. The ultimate aim is to enable the system to estimate or make inference concerning a certain state of nature.....