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» Statistical Inference in Mapping and Localization for Mobile...
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134
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ICRA
2002
IEEE
102views Robotics» more  ICRA 2002»
15 years 8 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
162
Voted
AAAI
2007
15 years 5 months ago
Hybrid Inference for Sensor Network Localization Using a Mobile Robot
In this paper, we consider a hybrid solution to the sensor network position inference problem, which combines a real-time filtering system with information from a more expensive,...
Dimitri Marinakis, David Meger, Ioannis M. Rekleit...
IJRR
2008
151views more  IJRR 2008»
15 years 3 months ago
Trajectory Optimization using Reinforcement Learning for Map Exploration
Automatically building maps from sensor data is a necessary and fundamental skill for mobile robots; as a result, considerable research attention has focused on the technical chall...
Thomas Kollar, Nicholas Roy
128
Voted
ICRA
2000
IEEE
103views Robotics» more  ICRA 2000»
15 years 8 months ago
Invariant Filtering for Simultaneous Localization and Mapping
This paper presents an algorithm for simultaneous localization and map building for a mobile robot moving in an unknown environment. The robot can measure only the bearings to ide...
Matthew Deans, Martial Hebert
92
Voted
ICRA
1998
IEEE
130views Robotics» more  ICRA 1998»
15 years 7 months ago
Simultaneous Map Building and Localization for Mobile Robots: A Multisensor Fusion Approach
José A. Castellanos, J. M. Martínez,...