About: Nao Robot Navigation Based on a Single VGA Camera

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Nao Robot Navigation Based on a Single VGA Camera Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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 detailed map 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 of special 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 environment Webots and the robustness is verified on a real robot Nao. The results show that our approach makes it possible to safely navigate the robot Nao. 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 detailed map 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 of special 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 environment Webots and the robustness is verified on a real robot Nao. The results show that our approach makes it possible to safely navigate the robot Nao. (en)
Title	Nao Robot Navigation Based on a Single VGA Camera Nao Robot Navigation Based on a Single VGA Camera (en)
skos:prefLabel	Nao Robot Navigation Based on a Single VGA Camera Nao Robot Navigation Based on a Single VGA Camera (en)
skos:notation	RIV/68407700:21230/12:00200336!RIV13-MSM-21230___
http://linked.open...avai/predkladatel	Fakulta elektrotechnická
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(7E10047)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Průša, Daniel Bresler, Martin Fojtů, Šimon
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	152993
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/12:00200336
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	humanoid robot; camera based navigation; SLAM; SfM; marker detection (en)
http://linked.open.../riv/klicoveSlovo	SLAM humanoid robot SfM camera based navigation marker detection
http://linked.open...ontrolniKodProRIV	[54639F3BB7E9]
http://linked.open...v/mistoKonaniAkce	Mala Nedelja
http://linked.open...i/riv/mistoVydani	Ljubljana
http://linked.open...i/riv/nazevZdroje	CVWW 2012: Proceedings of the 17th Computer Vision Winter Workshop
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Humanoids with auditory and visual abilities in populated spaces
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Bresler, Martin Průša, Daniel Fojtů, Šimon
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-02-01 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Slovenian Pattern Recognition Society
https://schema.org/isbn	978-961-90901-6-9
http://localhost/t...ganizacniJednotka	21230
is http://linked.open...avai/riv/vysledek of	Nao Robot Navigation Based on a Single VGA Camera

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software