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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
Version:
Accepted manuscript

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Publisher copy:
10.1109/TCST.2004.840448

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Department:
Oxford, MSD, Experimental Psychology
Role:
Author
More by this author
Department:
Oxford, MPLS, 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
Pubs id:
pubs:430726
URN:
uri:1afa9f92-116c-4a80-9d86-0155d998751a
UUID:
uuid:1afa9f92-116c-4a80-9d86-0155d998751a
Local pid:
pubs:430726
Paper number:
2
Keywords:

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