The importance of models in Bayesian data fusion
M.D. Bedworth, A.J.R. Heading · 2003
Introduction Mark D. Bedworth Anthony J. R. Heading Presented at the 1st IEEE Conference on Control Applications, Dayton, Ohio, USA September 13-16 1992. and Defence Research Agency St. Andrews Road, Great Malvern, WR14 3PS, England. Telephone: +44 684 894521 Email: [email protected] One source of errors in automatic data fusion systems is examined for the simplest case in which the separate sensors supply independent information. Despite the apparent simplicity of this scenario, improvements in performance can still be made over the currently used methods. A theoretical technique is worked through and an approximation to it assessed. Experimental results are given both for synthetic Gaussian data and for a real data fusion problem involving ship silhouette recognition. Although data collection has to a large extent been automated during the past few decades, the task of collation and combination of data has been left primarily to people. Multi-sensor systems with automatic patt...