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ICML
2001
IEEE
14 years 9 months ago
Using EM to Learn 3D Models of Indoor Environments with Mobile Robots
This paper describes an algorithm for generating compact 3D models of indoor environments with mobile robots. Our algorithm employs the expectation maximization algorithm to fit a...
Yufeng Liu, Rosemary Emery, Deepayan Chakrabarti, ...
ICRA
2003
IEEE
119views Robotics» more  ICRA 2003»
14 years 2 months ago
Using visual features to build topological maps of indoor environments
Abstract— This paper addresses the problem of localization and map construction by a mobile robot in an indoor environment. Instead of trying to build high-fidelity geometric ma...
Paul E. Rybski, Franziska Zacharias, Jean-Fran&cce...
AROBOTS
2002
126views more  AROBOTS 2002»
13 years 8 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
2006
IEEE
216views Robotics» more  ICRA 2006»
14 years 2 months ago
3D Reconstruction of Complex Structures with Bundle Adjustment: an Incremental Approach
— This paper introduces an incremental method for “Structure From Motion” of complex scenes from a video sequence. More precisely, we estimate the 3D positions of the viewed ...
E. Mouragnon, Maxime Lhuillier, Michel Dhome, Fabi...
IJCAI
1997
13 years 10 months ago
Active Mobile Robot Localization
Localization is the problem of determining the position of a mobile robot from sensor data. Most existing localization approaches are passive, i.e., they do not exploit the opport...
Wolfram Burgard, Dieter Fox, Sebastian Thrun