About: A Practical Multirobot Localization System

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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
rdfs:seeAlso	http://link.springer.com/article/10.1007%2Fs10846-014-0041-x
Description	We present a fast and precise vision-based software intended for multiple robot localization. The core component of the software is a novel and efficient algorithm for black and white pattern detection. The method is robust to variable lighting conditions, achieves sub-pixel precision and its computational complexity is independent of the processed image size. With off-the-shelf computational equipment and low-cost cameras, the core algorithm is able to process hundreds of images per second while tracking hundreds of objects with millimeter precision. In addition, we present the method’s mathematical model, which allows to estimate the expected localization precision, area of coverage, and processing speed from the camera’s intrinsic parameters and hardware’s processing capacity. The correctness of the presented model and performance of the algorithm in real-world conditions is verified in several experiments. Apart from the method description, we also make its source code pub ic at http://purl.org/robotics/w ycon; so, it can be used as an enabling technology for various mobile robotic problems. We present a fast and precise vision-based software intended for multiple robot localization. The core component of the software is a novel and efficient algorithm for black and white pattern detection. The method is robust to variable lighting conditions, achieves sub-pixel precision and its computational complexity is independent of the processed image size. With off-the-shelf computational equipment and low-cost cameras, the core algorithm is able to process hundreds of images per second while tracking hundreds of objects with millimeter precision. In addition, we present the method’s mathematical model, which allows to estimate the expected localization precision, area of coverage, and processing speed from the camera’s intrinsic parameters and hardware’s processing capacity. The correctness of the presented model and performance of the algorithm in real-world conditions is verified in several experiments. Apart from the method description, we also make its source code pub ic at http://purl.org/robotics/w ycon; so, it can be used as an enabling technology for various mobile robotic problems. (en)
Title	A Practical Multirobot Localization System A Practical Multirobot Localization System (en)
skos:prefLabel	A Practical Multirobot Localization System A Practical Multirobot Localization System (en)
skos:notation	RIV/68407700:21230/14:00217631!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(7AMB12AR022), P(7E08006), P(GP13-18316P)
http://linked.open...iv/cisloPeriodika	3-4
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Vaněk, Petr Saska, Martin Přeučil, Libor Krajník, Tomáš Faigl, Jan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
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	1051
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/14:00217631
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Localization; Mobile Robotics; Computer vision; Swarm Robotics (en)
http://linked.open.../riv/klicoveSlovo	Mobile Robotics Computer vision Swarm Robotics Localization
http://linked.open...odStatuVydavatele	NL - Nizozemsko
http://linked.open...ontrolniKodProRIV	[1950E6FE6CF4]
http://linked.open...i/riv/nazevZdroje	Journal of Intelligent and Robotic Systems
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	8 (xsd:int)
http://linked.open...vavai/riv/projekt	Self-Organizing Maps for Multi-Goal Path Planning Tasks Cognitive Autonomous Robots II Robotic Evolutionary Self-Programming and Self-Assembling Organisms
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	76
http://linked.open...iv/tvurceVysledku	Faigl, Jan Krajník, Tomáš Přeučil, Libor Saska, Martin Nitsche, M. Vaněk, Petr Mejail, M. Duckett, T.
http://linked.open...ain/vavai/riv/wos	000344353400011
issn	0921-0296
number of pages	24 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/s10846-014-0041-x
http://localhost/t...ganizacniJednotka	21230

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