Title :
The effect of confidence errors on estimation fusion using Bayes´ criterion
Author :
Peacock, A.M. ; Edwards, P.J. ; Renshaw, D. ; Hannah, J.M.
Author_Institution :
Dept. of Electr. Eng., Edinburgh Univ., UK
Abstract :
Information fusion can be used to combine estimates from different sources to give a single estimate of greater quality. To achieve this, it is often necessary to use confidence measures to gauge the reliability of individual estimates. This paper presents empirical results which suggest that errors in such confidence measures are important when choosing appropriate fusion strategies.
Keywords :
Bayes methods; error statistics; estimation theory; parameter estimation; probability; sensor fusion; Bayes method; confidence errors; estimation theory; information fusion; parameter estimation; probability; sensor fusion;
Conference_Titel :
Intelligent Sensor Processing (Ref. No. 2001/050), A DERA/IEE Workshop on
DOI :
10.1049/ic:20010102
