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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
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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
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e-ISSN
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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
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