Nao Robot Navigation Based on a Single VGA Camera
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200336" target="_blank" >RIV/68407700:21230/12:00200336 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Nao Robot Navigation Based on a Single VGA Camera
Original language description
We introduce a localization and mapping approach suitable for a humanoid robot Nao. The proposed method is using data acquired from a single VGA camera, mounted on the head of the robot. It combines two different approaches together to create a detailedmap and accurately locate the robot. Firstly, we present a Simultaneous Localization and Mapping technique (SLAM) based on a sparse 3D point cloud reconstruction. Secondly, we investigate the possibilities of enriching the created map by the detection ofspecial markers. Moreover, we describe the options of using the special markers to directly navigate the robot. The main benefit of our method is in the fact we are using only basic equipment of the robot Nao (no extra devices are needed e.g. external cameras) and we do not need high number of special markers in the scene. We use them to specify the created map. Thus, the method will not fail when no marker is detected. The accuracy of our method is tested using a robotic simulation env
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/7E10047" target="_blank" >7E10047: Humanoids with auditory and visual abilities in populated spaces</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CVWW 2012: Proceedings of the 17th Computer Vision Winter Workshop
ISBN
978-961-90901-6-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
121-128
Publisher name
Slovenian Pattern Recognition Society
Place of publication
Ljubljana
Event location
Mala Nedelja
Event date
Feb 1, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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