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Pedestrian indoor localization using IoT sensors RSSI signal strength measurement

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F19%3APU139879" target="_blank" >RIV/00216305:26210/19:PU139879 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072887162&origin=inward" target="_blank" >https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072887162&origin=inward</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-29993-4_21" target="_blank" >10.1007/978-3-030-29993-4_21</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pedestrian indoor localization using IoT sensors RSSI signal strength measurement

  • Original language description

    Pedestrian indoor localization can improve safety within various hazardous environments or increase a living standard in high density urban environment. The paper address the pedestrian localization in hazardous industrial indoor environment and develop an approach to be able to localize person within range of sub-meter accuracy. Thus we can detect the presence of an operator in forbidden or danger zone and the possible injury or death can be avoided. Our approach is based on RSSI signal strength measurements of IQRF sensors and we uses a particle filters for localization. We have found that our results exceeded our expectations and we are able to localize each person with required accuracy.

  • 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

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing

  • ISBN

    9783030299927

  • ISSN

  • e-ISSN

  • Number of pages

    700

  • Pages from-to

    164-171

  • Publisher name

    Springer Verlag

  • Place of publication

    Warsaw; Poland;

  • Event location

    Varšava

  • Event date

    Sep 16, 2019

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article