Title :
High Level Information Fusion (HLIF): Survey of models, issues, and grand challenges
Author :
Blasch, Erik P. ; Lambert, Dale A. ; Valin, Pierre ; Kokar, Mieczyslaw M. ; Llinas, James ; Das, S. ; Chee Chong ; Shahbazian, Elisa
Author_Institution :
Air Force Res. Lab., NY, USA
fDate :
9/1/2012 12:00:00 AM
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).
Keywords :
information management; performance evaluation; sensor fusion; HLIF; high level information fusion; information fusion design; information management; low-level information fusion; modeling; performance evaluation; process refinement; systems design; threat assessment; user refinement; Data fusion; Data models; Fusion; Information systems; Sensors;
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
DOI :
10.1109/MAES.2012.6366088