A New Multisensor Information Fusion Model Using Dempster-Shafer Theory

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The aim of this paper is to investigate how to use the contextual knowledge in order to improve the fusion process. The concept of multisensor information fusion model based on the Dempster-Shafer Theory is introduced. The resulting information of the architecture is combined using similar sensor subset and dissimilar sensor subset. We demonstrate the effectiveness of this approach using the uncertain and disparate information compared to primary mass assignment techniques.

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Edited by:

Yun-Hae Kim and Prasad Yarlagadda

Pages:

415-418

Citation:

J. Li et al., "A New Multisensor Information Fusion Model Using Dempster-Shafer Theory", Applied Mechanics and Materials, Vols. 475-476, pp. 415-418, 2014

Online since:

December 2013

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