Title :
An operational perception system for cross-country navigation
Author :
Daily, Michael J. ; Harris, John G. ; Reiser, Kurt
Author_Institution :
Hughes Artificial Intelligence Center, Calabasas, CA, USA
Abstract :
The authors present an operational perception system for cross-country navigation which has been verified in both simulated and real-world environments. Range data from a laser range scanner is transformed into an alternate representation called the Cartesian elevation map (CEM). A detailed vehicle model operates on the CEM to produce traversability information along selected trajectories. This information supports a real-time reflexive planning system. The authors successfully demonstrated their obstacle detection and avoidance algorithms on board the autonomous land vehicle at Martin Marietta Aerospace Corporation in Denver. They also propose enhancements to their current operational system
Keywords :
computer vision; computerised navigation; computerised pattern recognition; robots; vehicles; Cartesian elevation map; Martin Marietta Aerospace Corporation; autonomous land vehicle; computer vision; computerised navigation; computerised pattern recognition; cross-country navigation; laser range scanner; obstacle avoidance; obstacle detection; operational perception system; real-time reflexive planning system; real-world environments; traversability information; Artificial intelligence; Face recognition; Feature extraction; Indoor environments; Laser modes; Layout; Mobile robots; Navigation; Real time systems; Remotely operated vehicles;
Conference_Titel :
Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
0-8186-0862-5
DOI :
10.1109/CVPR.1988.196324