Vision-Based Fast and Reactive Monte-Carlo Localization
T. Röfer, and M. Jüngel. Proceedings of the 2003 IEEE International Conference on Robotics
and Automation (ICRA), page 856--861. IEEE, (2003)
Abstract
This paper presents a fast approach for vision-based self-localization
in RoboCup. The vision system extracts the features required for
localization without processing the whole image and is a first step
towards independence of lighting conditions. In the field of self-localization,
some new ideas are added to the well-known Monte- Carlo localization
approach that increase both stability and reactivity, while keeping
the processing time low.
%0 Conference Paper
%1 roefer-juengel-03-icra
%A Röfer, Thomas
%A Jüngel, Matthias
%B Proceedings of the 2003 IEEE International Conference on Robotics
and Automation (ICRA)
%D 2003
%E Polani, Daniel
%E Bonarini, Andrea
%E Browning, Brett
%E Yoshida, Kazuo
%I IEEE
%K 2003 Aibo juengel
%P 856--861
%T Vision-Based Fast and Reactive Monte-Carlo Localization
%U http://www.robocup.de/aiboteamhumboldt/papers/2003-09-icra03-RoeferJuengel-VisionBasedMonteCarloLocalization.pdf
%X This paper presents a fast approach for vision-based self-localization
in RoboCup. The vision system extracts the features required for
localization without processing the whole image and is a first step
towards independence of lighting conditions. In the field of self-localization,
some new ideas are added to the well-known Monte- Carlo localization
approach that increase both stability and reactivity, while keeping
the processing time low.
@inproceedings{roefer-juengel-03-icra,
abstract = {This paper presents a fast approach for vision-based self-localization
in RoboCup. The vision system extracts the features required for
localization without processing the whole image and is a first step
towards independence of lighting conditions. In the field of self-localization,
some new ideas are added to the well-known Monte- Carlo localization
approach that increase both stability and reactivity, while keeping
the processing time low.},
added-at = {2007-09-20T16:58:58.000+0200},
author = {Röfer, Thomas and Jüngel, Matthias},
biburl = {https://www.bibsonomy.org/bibtex/2334b96c957f89d6fe47610d8e91c36ac/juengel},
booktitle = {Proceedings of the 2003 IEEE International Conference on Robotics
and Automation (ICRA)},
editor = {Polani, Daniel and Bonarini, Andrea and Browning, Brett and Yoshida, Kazuo},
interhash = {f26cea6c330cfb0d0a126eeb24a99cc9},
intrahash = {334b96c957f89d6fe47610d8e91c36ac},
keywords = {2003 Aibo juengel},
owner = {juengel},
pages = {856--861},
pdf = {ATH-papers-pdf\2003-09-icra03-RoeferJuengel-VisionBasedMonteCarloLocalization.pdf},
publisher = {IEEE},
timestamp = {2007-09-20T17:10:11.000+0200},
title = {Vision-Based Fast and Reactive Monte-Carlo Localization},
url = {http://www.robocup.de/aiboteamhumboldt/papers/2003-09-icra03-RoeferJuengel-VisionBasedMonteCarloLocalization.pdf},
year = 2003
}