Title :
Multisensor fusion description using category theory
Author :
Thorsen, Steven N. ; Oxley, Mark E.
Author_Institution :
Dept. of Math. & Stat., Air Force Inst. of Technol., Ohio, OH, USA
Abstract :
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.
Keywords :
category theory; diagrams; sensor fusion; category theory; data fusion; fusion rules; fusors optimization; generic category; multisensor fusion; multisensor process; object fusion; Artificial intelligence; Fuses; Mathematics; Sensor fusion; State estimation; Statistics; Taxonomy; US Government;
Conference_Titel :
Aerospace Conference, 2004. Proceedings. 2004 IEEE
Print_ISBN :
0-7803-8155-6
DOI :
10.1109/AERO.2004.1367983