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CVPR
2009
IEEE
15 years 19 days ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...
RAS
2006
134views more  RAS 2006»
13 years 5 months ago
Simultaneous planning, localization, and mapping in a camera sensor network
In this paper we examine issues of localization, exploration, and planning in the context of a hybrid robot/camera-network system. We exploit the ubiquity of camera networks to us...
Ioannis M. Rekleitis, David Meger, Gregory Dudek
ICRA
2002
IEEE
164views Robotics» more  ICRA 2002»
13 years 10 months ago
Conditional Particle Filters for Simultaneous Mobile Robot Localization and People-Tracking
Abstract—This paper presents a probabilistic algorithm for simultaneously estimating the pose of a mobile robot and the positions of nearby people in a previously mapped environm...
Michael Montemerlo, Sebastian Thrun, William Whitt...
ICRA
2002
IEEE
135views Robotics» more  ICRA 2002»
13 years 10 months ago
Towards Multi-Vehicle Simultaneous Localisation and Mapping
This paper presents a novel approach to the multi-vehicle Simultaneous Localisation and Mapping (SLAM) problem that exploits the manner in which observations are fused into the gl...
Stefan B. Williams, Gamini Dissanayake, Hugh F. Du...
ICRA
2002
IEEE
102views Robotics» more  ICRA 2002»
13 years 10 months ago
Maximally Informative Statistics for Localization and Mapping
This paper presents an algorithm for simultaneous localization and mapping for a mobile robot using monocular vision and odometry. The approach uses Variable State Dimension Filte...
Matthew Deans