• DocumentCode
    1341919
  • 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
  • Volume
    27
  • Issue
    9
  • fYear
    2012
  • fDate
    9/1/2012 12:00:00 AM
  • Firstpage
    4
  • Lastpage
    20
  • 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;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0885-8985
  • Type

    jour

  • DOI
    10.1109/MAES.2012.6366088
  • Filename
    6366088