The Center for Multisource Information Fusion (CMIF) at the University at Buffalo is in the early stages of a multi-year research program addressing information fusion (IF) to support crisis-center decision-makers dealing with post-event situations for both earthquakes (a natural disaster) and chemical attacks (a man-made disaster). This paper describes the overall strategic approach to this research program, to include the need for: careful domain analysis, developing representative data sets, an effectiveness-oriented approach to the evaluation of the derived IF technology, and a strategy for assessing IF technique robustness. Examples are given, of the research in: techniques for data generation, data association techniques for highly-disparate and latent data, dynamic vehicle routing, modeling of hospital decision-making operations, and initial IF-based concepts for inferring the state of lifeline-infrastructure systems as "situational estimates". Plans for out-year research will also be discussed, as well as interactions with industrial partners.


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    Title :

    Information fusion for natural and man-made disasters


    Contributors:
    Llinas, J. (author)


    Publication date :

    2002-01-01


    Size :

    793880 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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