WiFi localization in 3D
The result's identifiers
Result code in 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>
Alternative codes found
RIV/68407700:21230/16:00304201
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
WiFi localization in 3D
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GA14-13876S" target="_blank" >GA14-13876S: Perception methods for long-term autonomy of mobile robots</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on
ISBN
978-1-5090-3762-9
ISSN
2153-0866
e-ISSN
—
Number of pages
7
Pages from-to
4551-4557
Publisher name
IEEE
Place of publication
Piscataway
Event location
Daejeon
Event date
Oct 9, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000391921704086