Evidence reasoning theory with application to the identity estimation and data association systems
A. Tchamova
Mathematics and Computers in Simulation (MATCOM), 1997, vol. 43, issue 2, 139-142
Abstract:
The theory of Dempster-Shafer is discussed with emphasis placed on its use grown from the field of multisensor data fusion and data association systems. The aims of this paper are to investigate: how the structure of multisensor integration systems influences over the accuracy of objects identification process; to determine the dependence of the degree of uncertainty on the speed of receiving best evidential intervals; to determine what is the impact of increasing number of sensors on the calculation time. The computer simulation results are described and discussed.
Keywords: Evidence reasoning theory; Attribute data association; Multisensor data fusion; Identity estimation (search for similar items in EconPapers)
Date: 1997
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475496000626
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:43:y:1997:i:2:p:139-142
DOI: 10.1016/S0378-4754(96)00062-6
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().