Paper
3 April 2000 Empirical investigations on Dempster-Shafer reasoning system in attribute fusion
Tuomas Silvennoinen, Petri T. Korpisaari, Jukka P. P. Saarinen
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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.
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Tuomas Silvennoinen, Petri T. Korpisaari, and Jukka P. P. Saarinen "Empirical investigations on Dempster-Shafer reasoning system in attribute fusion", Proc. SPIE 4051, Sensor Fusion: Architectures, Algorithms, and Applications IV, (3 April 2000); https://doi.org/10.1117/12.381637
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KEYWORDS
Detection and tracking algorithms

Kinematics

Computing systems

Modeling

Performance modeling

Personal digital assistants

Algorithms

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