Title :
Hypothesis management for information fusion
Author :
Jones, Eric K. ; Denis, Nikolaos ; Hunter, Daniel
Author_Institution :
Alphatech Inc., Burlington, MA, USA
fDate :
6/1/2003 12:00:00 AM
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 an efficient search for good hypotheses.
Keywords :
associative processing; data structures; heuristic programming; inference mechanisms; information analysis; information theory; abductive reasoning technology; data associations; high-level information fusion system scaling; information fusion hypothesis management; large fusion hypotheses collections; large problem solution; observable data; observation inference techniques; space-efficient factored representations; system structure/behavior/intent; Information management; Kinematics; Knowledge management; Mathematical model; Missiles; Programming profession; Road vehicles; State estimation; Time factors; Vehicle driving;
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
DOI :
10.1109/MAES.2003.1209583
