Art der Veröffentlichung: |
Artikel in Konferenzband |
Autor: |
Axel Lankenau, Thomas Röfer |
Titel: |
Mobile Robot Self-Localization in Large-Scale Environments |
Buch / Sammlungs-Titel: |
Proceedings of the IEEE International Conference on Robotics and Automation 2002 (ICRA-2002) |
Seite(n): |
1359 – 1364 |
Erscheinungsjahr: |
2002 |
Verleger: |
IEEE |
Abstract / Kurzbeschreibung: |
This paper presents a new approach for the absolute self-localization of a mobile robot in structured large-scale environments. The requirements with regard to both, the necessary a-priori knowledge as well as the sensor equipment, are low. The algorithm scales up very well, due to a hybrid representation of the environment that augments a topological map with metric information. As a consequence, the method is especially suited for usage in large-scale service robotics applications. As an example for a future application, the so-called Navigation Assistant of the Bremen Autonomous Wheelchair "Rolland" is discussed. The self-localization results presented below stem from experiments with the wheelchair on a 2,176m long indoor and outdoor parcours on the campus of the Universität Bremen. |
PDF Version: |
http://www.informatik.uni-bremen.de/kogrob/papers/icra02.pdf |
Schlagworte: |
navigation localization mobile robots service robots nonholonomic robots |
Status: |
Reviewed |
Letzte Aktualisierung: |
06. 11. 2013 |