Publication detail

Visual environment mapping based on computer vision

RŮŽIČKA, M. MAŠEK, P.

Original Title

Visual environment mapping based on computer vision

Type

conference paper

Language

English

Original Abstract

This paper presents method, which can be used for localization of autonomous mobile robots inside of buildings. The method is able to map environment, where the mobile robot operates. For this purpose was used phase correlation and image stitching method. Presented method uses continuously created map of environment for localization. Localization uses particle filters for mobile robot position estimation.

Keywords

Phase correlation, particle filters, localization, mapping, stitching, computer vision, image processing, mobile robot, discrete Fourier transform, inverse discrete Fourier transform and Hanning window

Authors

RŮŽIČKA, M.; MAŠEK, P.

RIV year

2015

Released

21. 9. 2015

Publisher

Springer International Publishing

Location

Switzerland

ISBN

978-3-319-23921-7

Book

Advanced Mechatronics Solutions

Edition number

393

ISBN

2194-5357

Periodical

Advances in Intelligent Systems and Computing

Number

393

State

Swiss Confederation

Pages from

643

Pages to

649

Pages count

7

BibTex

@inproceedings{BUT118687,
  author="Michal {Růžička} and Petr {Mašek}",
  title="Visual environment mapping based on computer vision",
  booktitle="Advanced Mechatronics Solutions",
  year="2015",
  journal="Advances in Intelligent Systems and Computing",
  number="393",
  pages="643--649",
  publisher="Springer International Publishing",
  address="Switzerland",
  doi="10.1007/978-3-319-23923-1\{_}90",
  isbn="978-3-319-23921-7",
  issn="2194-5357"
}