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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    Title :

    High Level Information Fusion (HLIF): Survey of models, issues, and grand challenges


    Contributors:
    Blasch, E. P. (author) / Lambert, D. A. (author) / Valin, P. (author) / Kokar, M. M. (author) / Llinas, James (author) / Das, S. (author) / Chee Chong, (author) / Shahbazian, E. (author)


    Publication date :

    2012-09-01


    Size :

    2702425 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English