Data fusion as a science has been described in the literature in great detail by many authors, particularly over the last two decades. These descriptions are, for the vast majority, non-mathematical in nature and have lacked the symbolism and clarity of mathematical precision. This paper demonstrates a way of describing the science of data fusion using diagrams and category theory. The description begins with a clear definition of what fusion is in a mathematical sense. Then category theory is applied to develop a generic category of object-fusion. Using a simple diagram of a multisensor process, several categories are developed. Fusion rules, called fusors, are described paving the way for development of a theory of optimization of fusors over categories.


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    Title :

    Multisensor fusion description using category theory


    Contributors:
    Thorsen, S.N. (author) / Oxley, M.E. (author)


    Publication date :

    2004-01-01


    Size :

    403842 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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