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Comparison of different sensors and localization methods suitable for autonomous robotic platform used in the field of ADAS testing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F21%3A43963640" target="_blank" >RIV/49777513:23220/21:43963640 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9653209" target="_blank" >https://ieeexplore.ieee.org/document/9653209</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TELFOR52709.2021.9653209" target="_blank" >10.1109/TELFOR52709.2021.9653209</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of different sensors and localization methods suitable for autonomous robotic platform used in the field of ADAS testing

  • Original language description

    This paper deals with sensors and localization methods suitable for Autonomous Robotic Platform (ARP). Such a platform is used for ADAS (Advanced Driver Assistance Systems) testing in automotive. At the beginning, the paper gives an introduction to the project and then it focuses on its key aspect that is the comparison of different solutions for localization of these platforms. Various sensors are compared with a reference position and the results are discussed in the conclusion.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2021 29th Telecommunications Forum (TELFOR) : Proceedings

  • ISBN

    978-1-66542-584-1

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    1-4

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    online, Belgrade, Serbia

  • Event date

    Nov 23, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article