On Weak Points of the Ellipsoidal Intersection Fusion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932623" target="_blank" >RIV/49777513:23520/17:43932623 - isvavai.cz</a>
Result on the web
<a href="https://dx.doi.org/10.1109/MFI.2017.8170403" target="_blank" >https://dx.doi.org/10.1109/MFI.2017.8170403</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MFI.2017.8170403" target="_blank" >10.1109/MFI.2017.8170403</a>
Alternative languages
Result language
angličtina
Original language name
On Weak Points of the Ellipsoidal Intersection Fusion
Original language description
The Ellipsoidal Intersection algorithm aims at fusing two state estimates under a partial knowledge of the cross-correlation of the estimation errors. However, it has been observed that it does not provide an upper bound of all admissible fused mean square error matrices. This paper provides a mathematical tool for an analysis of the fusion under the considered partial knowledge of correlations. The tool facilitates the visualisation of the improvement gained by the partial knowledge and exposes weak points of the Ellipsoidal Intersection fusion. Finally, strictness of the fusion assumption relative to the Covariance Intersection fusion is demonstrated.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GC16-19999J" target="_blank" >GC16-19999J: Cooperative Approaches to Design of Nonlinear Filters</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017)
ISBN
978-1-5090-6064-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
28-33
Publisher name
IEEE
Place of publication
Daegu
Event location
Daegu, Korea
Event date
Nov 16, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426937700005