Hypothesis management for information fusion

Author

Jones, Eric K. ; Denis, Nikolaos ; Hunter, Daniel

Author_Institution

Alphatech Inc., Burlington, MA, USA

Volume

2

fYear

2002

fDate

8-11 July 2002

Firstpage

894

Abstract

The efficient management of large collections of fusion hypotheses presents a critical challenge for scaling high-level information fusion systems to solve large problems. We motivate this challenge in the context of two ALPHATECH research projects, and discuss several partial solutions. A recurring theme is the exploitation of space-efficient, factored representations of multiple hypotheses to enable efficient search for good hypotheses.

Keywords

belief networks; data handling; heuristic programming; knowledge based systems; military computing; probability; sensor fusion; ALPHATECH research projects; data association; dynamic Bayesian network; fusion hypothesis management; high-level information fusion systems; knowledge-based fusion; military systems; multi-hypothesis tracking; probabilistic relational model; problem solving; search; space-efficient factored representations; Bayesian methods; Information management; Kinematics; Mathematical model; Missiles; Programming profession; Road vehicles; State estimation; Time factors; Vehicle driving;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2002. Proceedings of the Fifth International Conference on

Conference_Location

Annapolis, MD, USA

Print_ISBN

0-9721844-1-4

Type

conf

DOI

10.1109/ICIF.2002.1020904

Filename

1020904