An experimental data fusion model for multisensor systems

The objective of this research is to develop a data fusion model for multiple sensor systems. This fusion model has the ability to fuse different types of information. It can associate data from multiple sensors to proper target in multi-target environment. The model recognizes and distinguishes between a static or a dynamic scene. Uncertainty management, which is one of the most difficult issues in data fusion systems, is conducted in this dissertation by employing a mathematical-based model called "Dempster-Shafer theory of evidence". Several applications of this fusion model are presented.