The fusion of redundant SEVA measurements
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. Cons...
প্রধান লেখক: | , |
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বিন্যাস: | Journal article |
ভাষা: | English |
প্রকাশিত: |
2005
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_version_ | 1826284006612664320 |
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author | Duta, M Henry, M |
author_facet | Duta, M Henry, M |
author_sort | Duta, M |
collection | OXFORD |
description | 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 causes a smooth reduction in the influence of outliers as they become increasingly inconsistent with the majority. © 2005 IEEE. |
first_indexed | 2024-03-07T01:07:22Z |
format | Journal article |
id | oxford-uuid:8bd14f39-e519-437b-b2b6-6938e55d6c03 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T01:07:22Z |
publishDate | 2005 |
record_format | dspace |
spelling | oxford-uuid:8bd14f39-e519-437b-b2b6-6938e55d6c032022-03-26T22:40:27ZThe fusion of redundant SEVA measurementsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8bd14f39-e519-437b-b2b6-6938e55d6c03EnglishSymplectic Elements at Oxford2005Duta, MHenry, MThe 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 causes a smooth reduction in the influence of outliers as they become increasingly inconsistent with the majority. © 2005 IEEE. |
spellingShingle | Duta, M Henry, M The fusion of redundant SEVA measurements |
title | The fusion of redundant SEVA measurements |
title_full | The fusion of redundant SEVA measurements |
title_fullStr | The fusion of redundant SEVA measurements |
title_full_unstemmed | The fusion of redundant SEVA measurements |
title_short | The fusion of redundant SEVA measurements |
title_sort | fusion of redundant seva measurements |
work_keys_str_mv | AT dutam thefusionofredundantsevameasurements AT henrym thefusionofredundantsevameasurements AT dutam fusionofredundantsevameasurements AT henrym fusionofredundantsevameasurements |