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» Probabilistic estimation of Multi-Level terrain maps
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ICRA
2009
IEEE
151views Robotics» more  ICRA 2009»
13 years 11 months ago
Probabilistic estimation of Multi-Level terrain maps
— Recent research has shown that robots can model their world with Multi-Level (ML) surface maps, which utilize ‘patches’ in a 2D grid space to represent various environment ...
Cesar Rivadeneyra, Isaac Miller, Jonathan R. Schoe...
ICRA
1998
IEEE
143views Robotics» more  ICRA 1998»
13 years 8 months ago
Maximum Likelihood Rover Localization by Matching Range Maps
This paper describes maximum likelihood estimation techniques for performing rover localization in natural terrain by matching range maps. An occupancy map of the local terrain is...
Clark F. Olson, Larry Matthies
JFR
2008
103views more  JFR 2008»
13 years 4 months ago
Monte Carlo localization in outdoor terrains using multilevel surface maps
We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...
Rainer Kümmerle, Rudolph Triebel, Patrick Pfa...
JFR
2006
140views more  JFR 2006»
13 years 4 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...