DocumentCode
706858
Title
Robust track fusion
Author
Black, J.V. ; Reed, C.M.
Author_Institution
DERA, Malvern, UK
fYear
1999
fDate
Aug. 31 1999-Sept. 3 1999
Firstpage
3106
Lastpage
3111
Abstract
When local tracks are fused to produce a global track, allowing for dependence, the approximations necessary for economic track representation can result in an unlocalised, posterior track distribution and tracker failure. This paper describes two approaches to robust track fusion. Each produces a modified version of the usual formula which undoes the adverse effects of the approximations. The general principles are applied here to the case of Gaussian mixture modelling of tracks.
Keywords
Gaussian processes; approximation theory; mixture models; sensor fusion; Gaussian mixture modelling; approximation effects; robust track fusion; Approximation methods; Bayes methods; Economics; Probability density function; Robustness; Sensors; Target tracking; architectures; robust track fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 1999 European
Conference_Location
Karlsruhe
Print_ISBN
978-3-9524173-5-5
Type
conf
Filename
7099803
Link To Document