Saturday, April 17, 2010

Paper Summary - An Introduction to Bayesian and Dempster-Shafer Data Fusion

D. Koks and S. Challa, DSTO Systems Sciences Laboratory, November 2005
http://www.dsto.defence.gov.au/publications/2563/DSTO-TR-1436.pdf

This paper is about data fusion and using techniques such as Bayesian and DS. It starts out with an introduction about data fusion and how it is defined in multiple domains. It then highlights work by others that implemented different methods to perform data fusion. It then gives nice detailed examples of using Bayesian and Dempster-Shafer to perform data fusion. It ends with a comparison summary of these two techniques.

The paper is very good. It shows all of the equations step by step and gives clear examples. It very clearly shows shortcoming of both methods.

No comments: