Dual Approach to Inverse Covariance Intersection Fusion

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43973066" target="_blank" >RIV/49777513:23520/24:43973066 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/MFI62651.2024.10705759" target="_blank" >https://doi.org/10.1109/MFI62651.2024.10705759</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MFI62651.2024.10705759" target="_blank" >10.1109/MFI62651.2024.10705759</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dual Approach to Inverse Covariance Intersection Fusion

Popis výsledku v původním jazyce

Linear fusion of estimates under the condition of no knowledge of correlation of estimation errors has reached maturity. On the other hand, various cases of partial knowledge are still active research areas. A frequent motivation is to deal with “common information” or “common noise”, whatever it means. A fusion rule for a strict meaning of the former expression has already been elaborated. Despite the dual relationship, a strict meaning of the latter one has not been considered so far. The paper focuses on this area. The assumption of unknown “common noise” is formulated first, analysis of theoretical properties and illustrations follow. Although the results are disappointing from the perspective of a single upper bound of mean square error matrices, the partial knowledge demonstrates improvement over no knowledge in suboptimal cases and from the perspective of families of upper bounds.

Název v anglickém jazyce

Dual Approach to Inverse Covariance Intersection Fusion

Popis výsledku anglicky

Linear fusion of estimates under the condition of no knowledge of correlation of estimation errors has reached maturity. On the other hand, various cases of partial knowledge are still active research areas. A frequent motivation is to deal with “common information” or “common noise”, whatever it means. A fusion rule for a strict meaning of the former expression has already been elaborated. Despite the dual relationship, a strict meaning of the latter one has not been considered so far. The paper focuses on this area. The assumption of unknown “common noise” is formulated first, analysis of theoretical properties and illustrations follow. Although the results are disappointing from the perspective of a single upper bound of mean square error matrices, the partial knowledge demonstrates improvement over no knowledge in suboptimal cases and from the perspective of families of upper bounds.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotika a pokročilá průmyslová výroba</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

ISBN

979-8-3503-6803-1

ISSN

2835-947X

e-ISSN

2767-9357

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

Plzeň

Místo konání akce

Plzeň, Česká republika

Datum konání akce

4. 9. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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