Autonomous off-road navigation of robotic ground vehicles has important applications on Earth and in space exploration. Progress in this domain has been retarded by the limited lookahead range of 3-D sensors and by the difficulty of preprogramming systems to understand the traversability of the wide variety of terrain they can encounter.
Learning for autonomous navigation
Neural Information Processing Systems ; 2005 ; Vancouver, British Columbia, Canada
2005-12-01
Aufsatz (Konferenz)
Keine Angabe
Englisch
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