Detail publikace

VISUAL SLAM BASED ON PHASE CORRELATION AND PARTICLE FILTERS

RŮŽIČKA, M. MAŠEK, P.

Anglický název

VISUAL SLAM BASED ON PHASE CORRELATION AND PARTICLE FILTERS

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

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 anglicky

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.

Vydáno

2015-06-23

Nakladatel

Springer

Místo

Switzerland

ISBN

978-3-319-19823-1

ISSN

2194-5357

Kniha

MENDEL 2015, Recent Advances in Soft Computing

Ročník

378

Strany od–do

353–362

Počet stran

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"
}