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Robotic Localization of Radiological Sources

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU127819" target="_blank" >RIV/00216305:26220/18:PU127819 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Robotic Localization of Radiological Sources

  • Original language description

    The paper presents current means in the field of the autonomous robotic localization of gamma radiation sources. It introduces a method for speeding up the localization which is based on a partially direction-sensitive two-detector system and its limitations. In comparison with a referential radiation mapping, the method offers three times faster localization preserv-ing the similar accuracy. Finally, an integration of the results into the multi-robotic system ATEROS via the augmented reality is outlined.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • 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 24th Conference STUDENT EEICT 2018

  • ISBN

    978-80-214-5614-3

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    373-377

  • Publisher name

    Brno University of Technology, Faculty of Electrical Engineering and Communication

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Apr 26, 2018

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article