DocumentCode :
2700959
Title :
Simulating range cameras for complex terrain robot mobility
Author :
Sheh, Raymond ; Sammut, Claude
Author_Institution :
ARC Centre of Excellence for Autonomous Syst., Univ. of New South Wales, Sydney, NSW, Australia
fYear :
2011
fDate :
1-5 Nov. 2011
Firstpage :
184
Lastpage :
189
Abstract :
We have developed three simple simulations for range cameras (also called 3D cameras or flash LIDARs) that may be integrated into existing 3D robot visualisation and simulation frameworks. They are able to generate data at better than video framerates with minimal additional processing by leveraging the OpenGL graphics engine. We have used these simulations in our work on applying machine learning to the task of autonomous complex terrain robot mobility and 3D SLAM. We found that with a simple noise model it is possible to obtain realistic results.
Keywords :
SLAM (robots); cameras; control engineering computing; data visualisation; digital simulation; learning (artificial intelligence); mobile robots; optical radar; robot vision; 3D SLAM; 3D cameras; 3D robot simulation; 3D robot visualisation; OpenGL graphics engine; complex terrain robot mobility; flash LIDAR; machine learning; range cameras; Cameras; Engines; Noise; Robot vision systems; Three dimensional displays; 3D Vision; Complex Terrain Mobility; Computer Graphics; Range Camera; Robot Simulation; SLAM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Safety, Security, and Rescue Robotics (SSRR), 2011 IEEE International Symposium on
Conference_Location :
Kyoto
Print_ISBN :
978-1-61284-770-2
Type :
conf
DOI :
10.1109/SSRR.2011.6106763
Filename :
6106763
Link To Document :
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