DocumentCode :
3179037
Title :
Integrated Sensing Framework for 3D Mapping in Outdoor Navigation
Author :
Katz, R. ; Melkumyan, N. ; Guivant, J. ; Bailey, T. ; Nieto, J. ; Nebot, E.
Author_Institution :
Australian Centre for Field Robotics, Sydney Univ., NSW
fYear :
2006
fDate :
9-15 Oct. 2006
Firstpage :
2264
Lastpage :
2269
Abstract :
Although full 3D navigation and mapping is recognized as one of the most important challenges for autonomous navigation, the lack of robust sensors, providing 3D information in real time, has burdened the progress in this direction. This paper presents our ongoing work towards the deployment of an integrated sensing system for 3D mapping in outdoor environments. We first describe a 3D data acquisition architecture based on a standard 2D laser. Techniques for registering scans using a scan matching procedure and for estimating the errors are then introduced. We finally present results showing the performance of the proposed architecture in real outdoor environments by means of the integration of the 3D scans with dead reckoning and inertial measurement unit (IMU) information
Keywords :
SLAM (robots); path planning; robots; 3D data acquisition architecture; 3D mapping; autonomous navigation; dead reckoning; inertial measurement unit; outdoor navigation; simultaneous localization and mapping; Data acquisition; Dead reckoning; Intelligent robots; Laser radar; Navigation; Robot sensing systems; Robustness; Simultaneous localization and mapping; Uncertainty; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0258-1
Electronic_ISBN :
1-4244-0259-X
Type :
conf
DOI :
10.1109/IROS.2006.282571
Filename :
4058721
Link To Document :
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