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Proceedings Paper

Empirical investigations on Dempster-Shafer reasoning system in attribute fusion
Author(s): Tuomas Silvennoinen; Petri T. Korpisaari; Jukka P. P. Saarinen
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Paper Abstract

The tracking system with Dempster-Shafer attribute association algorithm is studied. The aim of the paper is to study how the different parameters affect to the association accuracy. The results show that the proposed Dempster-Shafer attribute association algorithm is robust for parameter variations and thus for modeling errors. The simulations are done according to synthesized data.

Paper Details

Date Published: 3 April 2000
PDF: 8 pages
Proc. SPIE 4051, Sensor Fusion: Architectures, Algorithms, and Applications IV, (3 April 2000); doi: 10.1117/12.381637
Show Author Affiliations
Tuomas Silvennoinen, Tampere Univ. of Technology (Finland)
Petri T. Korpisaari, Tampere Univ. of Technology (Finland)
Jukka P. P. Saarinen, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 4051:
Sensor Fusion: Architectures, Algorithms, and Applications IV
Belur V. Dasarathy, Editor(s)

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