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» Learning from examples in unstructured, outdoor environments
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ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
13 years 5 months ago
Coping with imbalanced training data for improved terrain prediction in autonomous outdoor robot navigation
Abstract— Autonomous robot navigation in unstructured outdoor environments is a challenging and largely unsolved area of active research. The navigation task requires identifying...
Michael J. Procopio, Jane Mulligan, Gregory Z. Gru...
IROS
2009
IEEE
139views Robotics» more  IROS 2009»
14 years 2 months ago
Improving robot navigation in structured outdoor environments by identifying vegetation from laser data
— This paper addresses the problem of vegetation detection from laser measurements. The ability to detect vegetation is important for robots operating outdoors, since it enables ...
Kai M. Wurm, Rainer Kümmerle, Cyrill Stachnis...
ICRA
2005
IEEE
137views Robotics» more  ICRA 2005»
14 years 1 months ago
Multi-aided Inertial Navigation for Ground Vehicles in Outdoor Uneven Environments
— A good localization ability is essential for an autonomous vehicle to perform any functions. For ground vehicles operating in outdoor, uneven and unstructured environments, the...
Bingbing Liu, Martin David Adams, Javier Ibanez Gu...
JFR
2006
75views more  JFR 2006»
13 years 7 months ago
Topological map learning from outdoor image sequences
We propose an approach to building topological maps of environments based on image sequences. The central idea is to use manifold constraints to find representative feature protot...
Xuming He, Richard S. Zemel, Volodymyr Mnih
IROS
2007
IEEE
150views Robotics» more  IROS 2007»
14 years 1 months ago
Long-Term learning using multiple models for outdoor autonomous robot navigation
Abstract—Autonomous robot navigation in unstructured outdoor environments is a challenging area of active research. The navigation task requires identifying safe, traversable pat...
Michael J. Procopio, Jane Mulligan, Gregory Z. Gru...