WiFi localization in 3D

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F16%3A00304201" target="_blank" >RIV/68407700:21730/16:00304201 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/16:00304201

Výsledek na webu

<a href="http://ieeexplore.ieee.org/document/7759670/" target="_blank" >http://ieeexplore.ieee.org/document/7759670/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IROS.2016.7759670" target="_blank" >10.1109/IROS.2016.7759670</a>

Jazyk výsledku

angličtina

Název v původním jazyce

WiFi localization in 3D

Popis výsledku v původním jazyce

calization of mobile robots can be challenging in highly dynamic environments (airport terminals, stores, hospitals) yet these areas offer great potential for robotics applications. HighWiFi coverage provides a way to localize even low-cost robots that do not need to be equipped with expensive exteroceptive sensors or excessive computational power to run visual-based SLAM algorithms. Since current trend in robotics is in mass-deployment of low-cost, replaceable robots, we focus our efforts in this direction as well. Possible solution is combination of high-tech robots deployed as support assuring reliable localization for the low-cost robots that are actually doing the job. The proposed scenario is to use one SLAM robot to map WiFi signal strength in the working area and provide it to a low-cost robot to correct drift of its 6-DOF gyro-odometry localization system. For this purpose, we extend Gaussian-processes-based WiFi localization algorithms to full 3D and experimentally evaluate the proposed approach in 2 mapping and 7 localization sorties performed on different dates spanning four months.

Název v anglickém jazyce

WiFi localization in 3D

Popis výsledku anglicky

calization of mobile robots can be challenging in highly dynamic environments (airport terminals, stores, hospitals) yet these areas offer great potential for robotics applications. HighWiFi coverage provides a way to localize even low-cost robots that do not need to be equipped with expensive exteroceptive sensors or excessive computational power to run visual-based SLAM algorithms. Since current trend in robotics is in mass-deployment of low-cost, replaceable robots, we focus our efforts in this direction as well. Possible solution is combination of high-tech robots deployed as support assuring reliable localization for the low-cost robots that are actually doing the job. The proposed scenario is to use one SLAM robot to map WiFi signal strength in the working area and provide it to a low-cost robot to correct drift of its 6-DOF gyro-odometry localization system. For this purpose, we extend Gaussian-processes-based WiFi localization algorithms to full 3D and experimentally evaluate the proposed approach in 2 mapping and 7 localization sorties performed on different dates spanning four months.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

<a href="/cs/project/GA14-13876S" target="_blank" >GA14-13876S: Strojové vnímání pro dlouhodobou autonomii mobilních robotů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on

ISBN

978-1-5090-3762-9

ISSN

2153-0866

e-ISSN

—

Počet stran výsledku

7

Strana od-do

4551-4557

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Daejeon

Datum konání akce

9. 10. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000391921704086