High Level Information Fusion (HLIF): Survey of Models, Issues, and Grand Challenges

Paper

High Level Information Fusion (HLIF): Survey of Models, Issues, and Grand Challenges

IEEE Aerospace and Electronic Systems Magazine

Volume Number:

Issue Number:

Pages:

–

Publication Date:

December 2012

Erik P. Blasch; Dale A. Lambert; Pierre Valin; Mieczyslaw "Mitch" M. Kokar; James Llinas; Subrata Das; Chee Chong; Elisa Shahbazian

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Abstract

High-level information fusion (situation and threat assessment, process and user refinement) requires novel solutions for the operational transition of information fusion designs. Low-level (signal processing, object state estimation and characterization) is well-vetted in the community as compared to high-level information fusion (control and relationships to the environment). Specific areas of interest include modeling (situations, environments), representations (semantic, knowledge, and complex), information management (ontologies, protocols) systems design (scenario-based, user-based, distributed-agent) and evaluation (measures of performance/effectiveness, and empirical case studies).

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