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RŮŽIČKA, M. MAŠEK, P.
Originální název
VISUAL SLAM BASED ON PHASE CORRELATION AND PARTICLE FILTERS
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper deals with design of visual SLAM method, which is based on phase correlation and particle filters. This method can be used for localization of autonomous mobile robots inside of buildings. The method contains two parts. The first one is mapping of environ-ment, where the mobile robot operates. For this purpose was used phase correlation and images stitching method. The second one is localization problem, which was solved by particle filters, where a particles weights re-sampling was realized by phase correlation image processing method as well. Localization uses the map, which was created by phase correlation and stitching method.
Klíčová slova
Phase correlation, particle filters, visual SLAM, localization, mapping, stitching, computer vision, image processing, mobile robot, discrete Fourier transform, inverse discrete Fourier transform and Hanning window.
Autoři
RŮŽIČKA, M.; MAŠEK, P.
Rok RIV
2015
Vydáno
23. 6. 2015
Nakladatel
Springer
Místo
Switzerland
ISBN
978-3-319-19823-1
Kniha
MENDEL 2015, Recent Advances in Soft Computing
Edice
Advances in Inteligent Systems and Computing
Číslo edice
378
ISSN
2194-5357
Periodikum
Advances in Intelligent Systems and Computing
Ročník
Stát
Švýcarská konfederace
Strany od
353
Strany do
362
Strany počet
10
BibTex
@inproceedings{BUT115145, author="Michal {Růžička} and Petr {Mašek}", title="VISUAL SLAM BASED ON PHASE CORRELATION AND PARTICLE FILTERS", booktitle="MENDEL 2015, Recent Advances in Soft Computing", year="2015", series="Advances in Inteligent Systems and Computing", journal="Advances in Intelligent Systems and Computing", volume="378", number="378", pages="353--362", publisher="Springer", address="Switzerland", doi="10.1007/978-3-319-19824-8", isbn="978-3-319-19823-1", issn="2194-5357" }