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The fusion of redundant SEVA measurements

Abstract:

The self-validating (SEVA) sensor carries out an internal quality assessment, and generates, for each measurement, standard metrics for its quality, including online uncertainty. This paper discusses consistency checking and data fusion between several SEVA sensors observing the same measurand. Consistency checking is shown to be equivalent to the maximum clique problem, which is NP-hard, but a linear approximation is described. A technique called uncertainty extension is proposed which cause...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/TCST.2004.840448

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
IEEE Transactions on Control Systems Technology Journal website
Volume:
13
Issue:
2
Pages:
173-184
Publication date:
2004-02-28
Acceptance date:
2004-05-28
DOI:
ISSN:
1063-6536
Keywords:
Pubs id:
pubs:430726
UUID:
uuid:1afa9f92-116c-4a80-9d86-0155d998751a
Local pid:
pubs:430726
Deposit date:
2016-10-01

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