Publication detail
Visual environment mapping based on computer vision
RŮŽIČKA, M. MAŠEK, P.
Czech title
Visual environment mapping based on computer vision
English title
Visual environment mapping based on computer vision
Type
conference paper
Language
en
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.
Czech 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.
English 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 in Czech
Phase correlation, particle filters, localization, mapping, stitching, computer vision, image processing, mobile robot, discrete Fourier transform, inverse discrete Fourier transform and Hanning window
Keywords in English
Phase correlation, particle filters, localization, mapping, stitching, computer vision, image processing, mobile robot, discrete Fourier transform, inverse discrete Fourier transform and Hanning window
RIV year
2015
Released
21.09.2015
Publisher
Springer International Publishing
Location
Switzerland
ISBN
978-3-319-23921-7
ISSN
2194-5357
Book
Advanced Mechatronics Solutions
Number
393
Edition number
393
Pages from–to
643–649
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",
number="393",
month="September",
pages="643--649",
publisher="Springer International Publishing",
address="Switzerland",
isbn="978-3-319-23921-7",
issn="2194-5357"
}