Title :
Stereo perception on an off-road vehicle
Author :
Rieder, A. ; Southall, B. ; Salgian, G. ; Mandelbaum, R. ; Herman, H. ; Rander, P. ; Stentz, T.
Author_Institution :
Sarnoff Corp., Princeton, NJ, USA
Abstract :
This paper presents a vehicle for autonomous off-road navigation built in the framework of DARPA´s PerceptOR program. Special emphasis is given to the perception system. A set of three stereo camera pairs provide color and 3D data in a wide field of view (greater 100 degree) at high resolution (2160 by 480 pixel) and high frame rates (5 Hz). This is made possible by integrating a powerful image processing hardware called Acadia. These high data rates require efficient sensor fusion, terrain reconstruction and path planning algorithms. The paper quantifies sensor performance and shows examples of successful obstacle avoidance.
Keywords :
image reconstruction; mobile robots; path planning; robot vision; sensor fusion; stereo image processing; vehicles; 1036800 pixel; 2160 pixel; 3D data; 480 pixel; 5 Hz; Acadia; DARPA; PerceptOR program; autonomous off-road navigation; color; off-road vehicle; path planning algorithms; perception system; sensor fusion; stereo camera pairs; stereo perception; terrain reconstruction; Cameras; Hardware; Image processing; Image reconstruction; Laser radar; Mobile robots; Navigation; Pixel; Remotely operated vehicles; Vehicle detection;
Conference_Titel :
Intelligent Vehicle Symposium, 2002. IEEE
Print_ISBN :
0-7803-7346-4
DOI :
10.1109/IVS.2002.1187955