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Covariance Intersection in Track-to-Track Fusion With Memory

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929224" target="_blank" >RIV/49777513:23520/16:43929224 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/MFI.2016.7849514" target="_blank" >http://dx.doi.org/10.1109/MFI.2016.7849514</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MFI.2016.7849514" target="_blank" >10.1109/MFI.2016.7849514</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Covariance Intersection in Track-to-Track Fusion With Memory

  • Original language description

    In several practical applications, an economical processing of multisensor data is realised by the fusion of estimates. A very cheap solution, which is also very conservative, is the Covariance Intersection (CI) fusion. Basic information configurations of the estimation system have been inspected by the authors in a preceding paper [1]. This paper provides an extension of the previous discussion to the fusion with memory. It shows that the adding of memory cannot improve the fusions without memory given by partial or full information feedback. Conversely, it shows that the fusion without memory and no information feedback can be in some cases improved by the adding of memory.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Procedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016)

  • ISBN

    978-1-4673-9708-7

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    359-364

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    Baden-Baden

  • Event location

    Baden-Baden, Germany

  • Event date

    Sep 19, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000405714400057