Sciweavers

9 search results - page 1 / 2
» Maximum Likelihood Rover Localization by Matching Range Maps
Sort
View
ICRA
1998
IEEE
143views Robotics» more  ICRA 1998»
13 years 9 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
ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
13 years 3 months ago
Maximum likelihood mapping with spectral image registration
Abstract— A core challenge in probabilistic mapping is to extract meaningful uncertainty information from data registration methods. While this has been investigated in ICP-based...
Max Pfingsthorn, Andreas Birk 0002, Sören Sch...
ICRA
1999
IEEE
110views Robotics» more  ICRA 1999»
13 years 9 months ago
Subpixel Localization and Uncertainty Estimation Using Occupancy Grids
We describe techniques for performing mobile robot localization using occupancy grids that allow subpixel localization and uncertainty estimation in the pixelized pose space. The ...
Clark F. Olson
DAGM
2004
Springer
13 years 10 months ago
A Probabilistic Framework for Robust and Accurate Matching of Point Clouds
We present a probabilistic framework for matching of point clouds. Variants of the ICP algorithm typically pair points to points or points to lines. Instead, we pair data points to...
Peter Biber, Sven Fleck, Wolfgang Straßer
SIROCCO
2008
13 years 6 months ago
Recovering the Long-Range Links in Augmented Graphs
The augmented graph model, as introduced by Kleinberg (STOC 2000), is an appealing model for analyzing navigability in social networks. Informally, this model is defined by a pair...
Pierre Fraigniaud, Emmanuelle Lebhar, Zvi Lotker