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ROBOCUP
2007
Springer
208views Robotics» more  ROBOCUP 2007»
13 years 11 months ago
3D Tracking by Catadioptric Vision Based on Particle Filters
This paper presents a robust tracking system for autonomous robots equipped with omnidirectional cameras. The proposed method uses a 3D shape and color-based object model. This all...
Matteo Taiana, José António Gaspar, ...
ICRA
2003
IEEE
158views Robotics» more  ICRA 2003»
13 years 10 months ago
Probabilistic cooperative localization and mapping in practice
In this paper we present a probabilistic framework for the reduction in the uncertainty of a moving robot pose during exploration by using a second robot to assist. A Monte Carlo ...
Ioannis M. Rekleitis, Gregory Dudek, Evangelos E. ...
ICRA
1999
IEEE
126views Robotics» more  ICRA 1999»
13 years 9 months ago
Monte Carlo Localization for Mobile Robots
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
Frank Dellaert, Dieter Fox, Wolfram Burgard, Sebas...
AAAI
2006
13 years 6 months ago
Bayesian Calibration for Monte Carlo Localization
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
Armita Kaboli, Michael H. Bowling, Petr Musí...
ICPR
2010
IEEE
14 years 7 days ago
Sensor Fusion for Cooperative Head Localization
—In modern video surveillance systems, pan–tilt– zoom (PTZ) cameras certainly have the potential to allow the coverage of wide areas with a much smaller number of sensors, co...
Alberto Del Bimbo, Fabrizio Dini, Giuseppe Lisanti...