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18th International Conference on Pattern Recognition (ICPR'06) Volume 4
Self-Localization of a Mobile Robot Using Compressed Image Data of Average and Standard Deviation
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Noriyuki Shibuya, Kazunori Umeda, "Self-Localization of a Mobile Robot Using Compressed Image Data of Average and Standard Deviation," Pattern Recognition, International Conference on, vol. 4, pp. 614-617, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.1040,
author = {Noriyuki Shibuya and Kazunori Umeda},
title = {Self-Localization of a Mobile Robot Using Compressed Image Data of Average and Standard Deviation},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2006},
issn = {1051-4651},
pages = {614-617},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.1040},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Self-Localization of a Mobile Robot Using Compressed Image Data of Average and Standard Deviation
SN - 1051-4651
SP614
EP617
A1 - Noriyuki Shibuya,
A1 - Kazunori Umeda,
PY - 2006
KW - null
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
Noriyuki Shibuya, Chuo University, Japan
Kazunori Umeda, Chuo University, Japan
In this paper, an image-based self-localization method is proposed for a mobile robot. Images are compressed for each column, and the average and standard deviation of the pixels in each column are used. Environmental and observational data, which are the compressed image data at the registration and observational stages, are matched, and the position of the robot is obtained. The entire environment can be represented continuously with a small amount of data. A simple and robust matching method based on a voting process is introduced. The methods are evaluated through several experiments with omnidirectional images.
Citation:
Noriyuki Shibuya, Kazunori Umeda, "Self-Localization of a Mobile Robot Using Compressed Image Data of Average and Standard Deviation," icpr, vol. 4, pp.614-617, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
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