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Evaluation of Confidence Sets for Estimation with Piecewise Linear Constraint

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43959541" target="_blank" >RIV/49777513:23520/20:43959541 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/MFI49285.2020.9235227" target="_blank" >https://doi.org/10.1109/MFI49285.2020.9235227</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MFI49285.2020.9235227" target="_blank" >10.1109/MFI49285.2020.9235227</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of Confidence Sets for Estimation with Piecewise Linear Constraint

  • Original language description

    Equality constrained estimation finds its application in problems like positioning of cars on roads. This paper compares two constructions of confidence sets. The first one is given by the intersection of a standard unconstrained confidence set and the constraint, the second one applies the constraint first and designs the confidence set later. Analytical results are presented for a linear constraint. A family of piecewise linear constraints is inspected numerically. It is shown that for the considered scenarios, the second construction with a properly tuned free parameter provides confidence sets that are smaller in the expectation.

  • 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/GC20-06054J" target="_blank" >GC20-06054J: Intelligent Distributed Estimation Architectures</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • 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 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2020)

  • ISBN

    978-1-72816-422-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    146-151

  • Publisher name

    IEEE

  • Place of publication

    Karlsruhe

  • Event location

    Karlsruhe, Německo

  • Event date

    Sep 14, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article