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High Level Information Fusion (HLIF): Survey of models, issues, and grand challenges
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...
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Published in: | IEEE aerospace and electronic systems magazine 2012-09, Vol.27 (9), p.4-20 |
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container_end_page | 20 |
container_issue | 9 |
container_start_page | 4 |
container_title | IEEE aerospace and electronic systems magazine |
container_volume | 27 |
creator | Blasch, E. P. Lambert, D. A. Valin, P. Kokar, M. M. Llinas, James Das, S. Chee Chong Shahbazian, E. |
description | 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). |
doi_str_mv | 10.1109/MAES.2012.6366088 |
format | magazinearticle |
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source | IEEE Xplore (Online service) |
subjects | Aircraft components Communities Conferences Data fusion Data models Decision support systems Electronic systems Fusion Information systems Representations Sensors Systems design Thrust |
title | High Level Information Fusion (HLIF): Survey of models, issues, and grand challenges |
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