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» Bayesian Calibration for Monte Carlo Localization
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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...
ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
13 years 4 months ago
Improved Monte Carlo localization of autonomous robots through simultaneous estimation of motion model parameters
Abstract— In recent years, there has been an increasing interest in autonomous navigation for lightweight flying robots. With regard to self-localization flying robots have sev...
Jörg Müller 0004, Christoph Gonsior, Wol...
AAAI
2000
13 years 6 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
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...
FLAIRS
2007
13 years 7 months ago
Exploiting MindStorms NXT: Mapping and Localization Projects for the AI Course
1 This paper describes two major student projects for the artificial intelligence course – Mapping using Bayesian filter and Monte Carlo Localization. These projects are also sui...
Myles F. McNally, Frank Klassner, Christopher Cont...