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ICRA
1998
IEEE

Integrating Dependent Sensory Data

13 years 7 months ago
Integrating Dependent Sensory Data
In sensory data fusion and integration consideration, sensor independence is a common assumption. In this paper, we demonstrated the impact of including dependent information in sensory data combination process. The team consensus approach based on information entropy can improve the measurement accuracy remarkably. The major benefits of the approach are (a) the simple linear combination of the weighted initial local estimates for each sensor; and (b) the low order bivariate likelihood functions which can be represented easily. A comparison of the team consensus approach with the Bayesian approach is presented.
Albert C. S. Chung, Helen C. Shen
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1998
Where ICRA
Authors Albert C. S. Chung, Helen C. Shen
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