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IJRR
2002
218views more  IJRR 2002»
13 years 5 months ago
Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks
A key component of a mobile robot system is the ability to localize itself accurately and, simultaneously, to build a map of the environment. Most of the existing algorithms are b...
Stephen Se, David G. Lowe, James J. Little
ICCV
2003
IEEE
14 years 7 months ago
Stochastic Refinement of the Visual Hull to Satisfy Photometric and Silhouette Consistency Constraints
An iterative method for reconstructing a 3D polygonal mesh and color texture map from multiple views of an object is presented. In each iteration, the method first estimates a tex...
John Isidoro, Stan Sclaroff
ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
13 years 4 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...
CIDR
2007
138views Algorithms» more  CIDR 2007»
13 years 7 months ago
MOMA - A Mapping-based Object Matching System
Object matching or object consolidation is a crucial task for data integration and data cleaning. It addresses the problem of identifying object instances in data sources referrin...
Andreas Thor, Erhard Rahm
ICRA
2006
IEEE
144views Robotics» more  ICRA 2006»
13 years 11 months ago
Adapting Probabilistic Roadmaps to Handle Uncertain Maps
Abstract— Randomized motion planning techniques are responsible for many of the recent successes in robot control. However, most motion planning algorithms assume perfect and com...
Patrycja E. Missiuro, Nicholas Roy