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ICRA
2003
IEEE
129views Robotics» more  ICRA 2003»
14 years 25 days ago
Optimal navigation and object finding without geometric maps or localization
In this paper we present a dynamic data structure, useful for robot navigation in an unknown, simplyconnected planar environment. The guiding philosophy in this work is to avoid t...
Benjamín Tovar, Steven M. LaValle, Rafael M...
ICRA
2003
IEEE
146views Robotics» more  ICRA 2003»
14 years 25 days ago
Putting the 'I' in 'team': an ego-centric approach to cooperative localization
— This paper describes a cooperative method for relative localization of mobile robot teams; that is, it describes a method whereby every robot in the team can estimate the pose ...
Andrew Howard, Maja J. Mataric, Gaurav S. Sukhatme
AROBOTS
2002
126views more  AROBOTS 2002»
13 years 7 months ago
Selecting Landmarks for Localization in Natural Terrain
We describe techniques to optimally select landmarks for performing mobile robot localization by matching terrain maps. The method is based upon a maximum-likelihood robot localiza...
Clark F. Olson
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
13 years 5 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert
KI
2005
Springer
14 years 1 months ago
Heuristic-Based Laser Scan Matching for Outdoor 6D SLAM
6D SLAM (Simultaneous Localization and Mapping) or 6D Concurrent Localization and Mapping of mobile robots considers six dimensions for the robot pose, namely, the x, y and z coord...
Andreas Nüchter, Kai Lingemann, Joachim Hertz...