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» Uniform Monte Carlo Localization - Fast and Robust Self-Loca...
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152
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IROS
2006
IEEE
110views Robotics» more  IROS 2006»
15 years 9 months ago
Robust Self-Localization in Industrial Environments based on 3D Ceiling Structures
- This paper introduces a new perceptual model for Monte Carlo Localization (MCL). In our approach a 3D laser scanner is used to observe the ceiling. The MCL matches ceiling struct...
Oliver Wulf, Daniel Lecking, Bernardo Wagner
169
Voted
IBPRIA
2005
Springer
15 years 9 months 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...
136
Voted
AAAI
2000
15 years 5 months ago
Monte Carlo Localization with Mixture Proposal Distribution
Monte Carlo localization (MCL) is a Bayesian algorithm for mobile robot localization based on particle filters, which has enjoyed great practical success. This paper points out a ...
Sebastian Thrun, Dieter Fox, Wolfram Burgard
120
Voted
ICRA
2009
IEEE
155views Robotics» more  ICRA 2009»
15 years 10 months ago
Monte Carlo simultaneous localization of multiple unknown transient radio sources using a mobile robot with a directional antenn
— We report our system and algorithm developments that enable a single mobile robot equipped with a directional antenna to simultaneously localize multiple unknown transient radi...
Dezhen Song, Chang-Young Kim, Jingang Yi
144
Voted
ICRA
2000
IEEE
99views Robotics» more  ICRA 2000»
15 years 8 months ago
Sensor Resetting Localization for Poorly Modelled Mobile Robots
We present a new localization algorithm called Sensor Resetting Localization which is an extension of Monte Carlo Localization. The algorithm adds sensor based resampling to Monte...
Scott Lenser, Manuela M. Veloso