Main document
Literature Database Entry
eckert2009selflocalization
Juergen Eckert, Kemal Koeker, Philipp Caliebe, Falko Dressler and Reinhard German, "Self-localization Capable Mobile Sensor Nodes," Proceedings of IEEE International Conference on Technologies for Practical Robot Applications (TePRA 2009), Woburn, MA, November 2009, pp. 224–229.
Abstract
Position sensing systems for indoor environments have one common problem: The setup effort of the whole system. GPS-supported localization is simple and fast to implement and the reference grid is ubiquitous. However, in locations where the signals of GPS are not available, e.g. indoor, or where the technique is not accurate enough, other position sensing systems have to be used. Usually, a reference grid will be provided by an administrator: Reference points must be deployed and programmed with the correct location information. Especially for temporary installations and dynamic surroundings the setup costs are very high. In our work, we developed a robotic platform, which is capable of deploying itself autonomously and which can operate as a mobile reference point equipped with ultra sound transmitters. Relying on a combination of two controllers and an odometry system, the platform is able to drive on a complex spline-like trace using only a view supporting points. We also investigated the problem for the localization system itself. The detection field of our ultra sound based system is a full hemisphere. Within this domain, we can measure the distances between nodes exploiting the time of flight technique as well as the angle of arrival. Finally, the system can also be used as a sonar system for passive obstacles detection.
Quick access
Original Version (at publishers web site)
Authors' Version (PDF on this web site)
BibTeX
Contact
Juergen Eckert
Kemal Koeker
Philipp Caliebe
Falko Dressler
Reinhard German
BibTeX reference
@inproceedings{eckert2009selflocalization,
author = {Eckert, Juergen and Koeker, Kemal and Caliebe, Philipp and Dressler, Falko and German, Reinhard},
doi = {10.1109/TEPRA.2009.5339616},
title = {{Self-localization Capable Mobile Sensor Nodes}},
pages = {224--229},
publisher = {IEEE},
address = {Woburn, MA},
booktitle = {IEEE International Conference on Technologies for Practical Robot Applications (TePRA 2009)},
month = {11},
year = {2009},
}
Copyright notice
Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.
The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.
The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.
The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.
This page was automatically generated using BibDB and bib2web.
Extras
Featured Paper
- ViTaLS - A Novel Link-Layer Scheduling Framework for Tactile Internet
over Wi-Fi
The pioneering field of Tactile Internet (TI) will enable the transfer of human skills over long distances through haptic feedback. Realizing this demands a roundtrip ...
News
- February 19, 2023
Open PhD Position at TKN
We have fully-funded PhD positions. We are looking for ta... - February 21, 2023
Plenary Keynote at IEEE ICNC 2023
Falko Dressler gave a keynote titled "Learning for Resili... - February 06, 2023
Paper presentations at IEEE WONS 2023
Agon Memedi presented our paper titled "Towards Hybrid El... - February 01, 2023
New staff member: Marie-Christin H. Oczko
We welcome to Marie-Christin H. Oczko who joined our grou... - January 24, 2023
Christos Laskos awarded Distinguished Student 2022
We congratulate Christos Laskos for receiving this year's...