Random Sets : Unification and Computation for Information Fusion — A Retrospective Assessment

The author introduced the key ideas of finite-set statistics (FISST) between 1994 and 1996, as a means of theoretically unifying the major aspects of information fusion under a single probabilistic umbrella. FISST has been considerably extended and refined since that time, especially in regard to the development of principled approximation strategies. For the last several years FISST has been and is being applied to a number of practical applied-research problems. Several research teams around the world are currently investigating FISST techniques. The purpose of this keynote paper is to provide a retrospective assessment of the last decade of random set information fusion research: its antecedents; its techniques, tools, conceptual evolution, and current state of the art; its applications; its critics and imitators; and its possible future directions.

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