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ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
14 years 1 months ago
Speeding-up Rao-blackwellized SLAM
— Recently, Rao-Blackwellized particle filters have become a popular tool to solve the simultaneous localization and mapping problem. This technique applies a particle filter i...
Giorgio Grisetti, Gian Diego Tipaldi, Cyrill Stach...
IBPRIA
2005
Springer
14 years 27 days ago
Monte Carlo Localization Using SIFT Features
The ability of finding its situation in a given environment is crucial for an autonomous agent. While navigating through a space, a mobile robot must be capable of finding its lo...
Arturo Gil, Óscar Reinoso, Maria Asunci&oac...
ICPR
2006
IEEE
14 years 8 months ago
Monocular Vision Based SLAM for Mobile Robots
This paper describes a new vision based method for the Simultaneous Localization and Mapping of mobile robots. The only data used is a video input from a moving calibrated monocul...
E. Mouragnon, Fabien Dekeyser, Maxime Lhuillier, M...
AAAI
2007
13 years 9 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...
IROS
2006
IEEE
162views Robotics» more  IROS 2006»
14 years 1 months ago
Efficiency Improvement in Monte Carlo Localization through Topological Information
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
Tae-Bum Kwon, Ju-Ho Yang, Jae-Bok Song, Woojin Chu...