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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F14%3A00217631%21RIV15-MSM-21230___
rdf:type
n16:Vysledek skos:Concept
rdfs:seeAlso
http://link.springer.com/article/10.1007%2Fs10846-014-0041-x
dcterms: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 public at http://purl.org/robotics/whycon; 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 public at http://purl.org/robotics/whycon; so, it can be used as an enabling technology for various mobile robotic problems.
dcterms:title
A Practical Multirobot Localization System A Practical Multirobot Localization System
skos:prefLabel
A Practical Multirobot Localization System A Practical Multirobot Localization System
skos:notation
RIV/68407700:21230/14:00217631!RIV15-MSM-21230___
n4:aktivita
n13:P
n4:aktivity
P(7AMB12AR022), P(7E08006), P(GP13-18316P)
n4:cisloPeriodika
3-4
n4:dodaniDat
n7:2015
n4:domaciTvurceVysledku
n8:4187288 n8:1695541 n8:3276155 n8:7341520 n8:4334175
n4:druhVysledku
n15:J
n4:duvernostUdaju
n9:S
n4:entitaPredkladatele
n12:predkladatel
n4:idSjednocenehoVysledku
1051
n4:idVysledku
RIV/68407700:21230/14:00217631
n4:jazykVysledku
n18:eng
n4:klicovaSlova
Localization; Mobile Robotics; Computer vision; Swarm Robotics
n4:klicoveSlovo
n5:Computer%20vision n5:Mobile%20Robotics n5:Swarm%20Robotics n5:Localization
n4:kodStatuVydavatele
NL - Nizozemsko
n4:kontrolniKodProRIV
[1950E6FE6CF4]
n4:nazevZdroje
Journal of Intelligent and Robotic Systems
n4:obor
n17:JC
n4:pocetDomacichTvurcuVysledku
5
n4:pocetTvurcuVysledku
8
n4:projekt
n19:7E08006 n19:GP13-18316P n19:7AMB12AR022
n4:rokUplatneniVysledku
n7:2014
n4:svazekPeriodika
76
n4:tvurceVysledku
Duckett, T. Krajník, Tomáš Nitsche, M. Vaněk, Petr Přeučil, Libor Faigl, Jan Mejail, M. Saska, Martin
n4:wos
000344353400011
s:issn
0921-0296
s:numberOfPages
24
n20:doi
10.1007/s10846-014-0041-x
n11:organizacniJednotka
21230