Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society |
| Subtitle of host publication | IECON 02 |
| Publisher | IEEE |
| Pages | 2779-2784 |
| Number of pages | 6 |
| Volume | 4 |
| ISBN (Print) | 0780374746 |
| DOIs | |
| Publication status | Published - Feb 2003 |
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Keywords
- mobile robots
- sonar navigation
- robot sensing systems
- robotics and automation
- pattern recognition
- data mining
Cite this
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A perception system based on laser information for mobile robot topologic navigation. / Barber, R; Mata, M; Boada, MJL; Armingol, JM; Salichs, MA.
Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society: IECON 02. Vol. 4 IEEE, 2003. p. 2779-2784.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - A perception system based on laser information for mobile robot topologic navigation
AU - Barber, R
AU - Mata, M
AU - Boada, MJL
AU - Armingol, JM
AU - Salichs, MA
PY - 2003/2
Y1 - 2003/2
N2 - This paper presents a perception system for topological navigation using laser information. The localization system is based on the detection of landmarks (walls, doors and corners). A search algorithm based on Hough transform techniques for pattern recognition is used. The developed system allows the topologic localization and navigation of a mobile robot using landmarks. The resulting self-localization module has been integrated successfully in a more complicated navigation system. Various experimental results show the effectiveness of the presented algorithm.
AB - This paper presents a perception system for topological navigation using laser information. The localization system is based on the detection of landmarks (walls, doors and corners). A search algorithm based on Hough transform techniques for pattern recognition is used. The developed system allows the topologic localization and navigation of a mobile robot using landmarks. The resulting self-localization module has been integrated successfully in a more complicated navigation system. Various experimental results show the effectiveness of the presented algorithm.
KW - mobile robots
KW - sonar navigation
KW - robot sensing systems
KW - robotics and automation
KW - pattern recognition
KW - data mining
U2 - 10.1109/IECON.2002.1182835
DO - 10.1109/IECON.2002.1182835
M3 - Conference contribution
SN - 0780374746
VL - 4
SP - 2779
EP - 2784
BT - Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE
ER -