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DATA ACQUISITION SENSORY FRAMEWORK FOR AUTONOMOUS ROBOTS

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU127777" target="_blank" >RIV/00216305:26220/18:PU127777 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.feec.vutbr.cz/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf" target="_blank" >http://www.feec.vutbr.cz/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    DATA ACQUISITION SENSORY FRAMEWORK FOR AUTONOMOUS ROBOTS

  • Original language description

    In this paper there are described the basic hardware idea of complex sensory framework design and construction. Entire system is divided into four parts. The scalable sensory cluster with highly modular architecture which allows to connect practically arbitrary number of sensing devices, the data acquisition unit, high computational power unit which aggregates all sensor data, preprocess them and storage them in database to provide future access and usage for following applications. The third part is interconnecting network, which provides high bandwidth communication channels to exchange data between sensors and central computer. The last part is battery-based power supply system designed to fulfill 500W energy requirements of entire mobile framework system.

  • 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

    Sborník EEICT 2018

  • ISBN

    978-80-214-5614-3

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    388-392

  • Publisher name

    Vysoké učení technické vBrně, Fakulta elektrotechniky a komunikačních technologi

  • 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