Empirical investigations on Dempster-Shafer reasoning system in attribute fusion

被引：0
|
作者：
Silvennoinen, T [1 ]
Korpisaari, P [1 ]
Saarinen, J [1 ]
机构：
[1] Tampere Univ Technol, Digital & Comp Syst Lab, FIN-33101 Tampere, Finland
来源：
SENSOR FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS IV | 2000年 / 4051卷
关键词：
D O I：
10.1117/12.381637
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 modelling errors. The simulations are done according to synthesized data.
引用
收藏
页码：247 / 254
页数：8
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