Non-parametric learning to aid path planning over slopes

International Journal of Robotics Research

Volumn 29, Issue 8, 2010, Pages 997-1018

  Karumanchi, Sisir ^a   Allen, Thomas ^a   Bailey, Tim ^a   Scheding, Steve ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Gaussian processes; mobility maps; off road ground vehicles; proprioception; scene interpretation; vehicle terrain interaction

Indexed keywords

ACTION SELECTION; ELEVATION MAPS; GAUSSIAN PROCESSES; MAP GENERATION; MOBILITY MAPS; NON-PARAMETRIC; PATH-PLANNING; PROPRIOCEPTION; ROAD SLOPE; SCENE INTERPRETATION; UNMANNED GROUND VEHICLES; WHEEL SLIPS;

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); INFORMATION THEORY; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LANDFORMS; LEARNING ALGORITHMS; REMOTELY OPERATED VEHICLES; ROADS AND STREETS; VEHICLES;

OFF ROAD VEHICLES;

EID: 77954038112     PISSN: 02783649     EISSN: 17413176     Source Type: Journal    
DOI: 10.1177/0278364910370241     Document Type: Conference Paper

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