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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F13%3A00211790%21RIV14-GA0-21230___
rdf:type
n8:Vysledek skos:Concept
rdfs:seeAlso
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6766520&isnumber=6766447
dcterms:description
We present a fast and precise vision-based software intended for multiple robot localization. The core component of the proposed localization system is an efficient method for black and white circular 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 camera, its core algorithm is able to process hundreds of images per second while tracking hundreds of objects with millimeter precision. We propose a mathematical model of the method that allows to calculate its 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 are verified in several experiments. Apart from the method description, we also publish its source code; so, it can be used as an enabling technology for various mobile robotics problems. We present a fast and precise vision-based software intended for multiple robot localization. The core component of the proposed localization system is an efficient method for black and white circular 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 camera, its core algorithm is able to process hundreds of images per second while tracking hundreds of objects with millimeter precision. We propose a mathematical model of the method that allows to calculate its 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 are verified in several experiments. Apart from the method description, we also publish its source code; so, it can be used as an enabling technology for various mobile robotics problems.
dcterms:title
External Localization System for Mobile Robotics External Localization System for Mobile Robotics
skos:prefLabel
External Localization System for Mobile Robotics External Localization System for Mobile Robotics
skos:notation
RIV/68407700:21230/13:00211790!RIV14-GA0-21230___
n8:predkladatel
n12:orjk%3A21230
n3:aktivita
n22:P
n3:aktivity
P(GP13-18316P)
n3:dodaniDat
n9:2014
n3:domaciTvurceVysledku
n15:7341520 n15:3276155
n3:druhVysledku
n17:D
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
74402
n3:idVysledku
RIV/68407700:21230/13:00211790
n3:jazykVysledku
n20:eng
n3:klicovaSlova
Localization; Mobile Robotics; Computer Vision
n3:klicoveSlovo
n4:Computer%20Vision n4:Localization n4:Mobile%20Robotics
n3:kontrolniKodProRIV
[17277CBD170E]
n3:mistoKonaniAkce
Montevideo
n3:mistoVydani
Piscataway
n3:nazevZdroje
Proceedings of the International Conference on Advanced Robotics 2013
n3:obor
n11:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
6
n3:projekt
n23:GP13-18316P
n3:rokUplatneniVysledku
n9:2013
n3:tvurceVysledku
Faigl, Jan Duckett, T. Mejail, M. Nitsche, M. Přeučil, Libor Krajník, T.
n3:typAkce
n19:WRD
n3:zahajeniAkce
2013-11-25+01:00
s:numberOfPages
6
n18:doi
10.1109/ICAR.2013.6766520
n5:hasPublisher
IEEE
n10:isbn
978-1-4799-2722-7
n13:organizacniJednotka
21230