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2007
Springer
13 years 10 months ago
Fuzzy Adaptive Particle Filter for Localization of a Mobile Robot
Localization is one of the important topics in robotics and it is essential to execute a mission. Most problems in the class of localization are due to uncertainties in the modelin...
Young-Joong Kim, Chan-Hee Won, Jung-Min Pak, Myo-T...
ICRA
2003
IEEE
151views Robotics» more  ICRA 2003»
13 years 9 months ago
Adaptive real-time particle filters for robot localization
— Particle filters have recently been applied with great success to mobile robot localization. This success is mostly due to their simplicity and their ability to represent arbi...
Cody C. T. Kwok, Dieter Fox, Marina Meila
ICRA
2005
IEEE
210views Robotics» more  ICRA 2005»
13 years 10 months ago
Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling
— Recently Rao-Blackwellized particle filters have been introduced as effective means to solve the simultaneous localization and mapping (SLAM) problem. This approach uses a par...
Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgar...
ICRA
2002
IEEE
164views Robotics» more  ICRA 2002»
13 years 9 months ago
Conditional Particle Filters for Simultaneous Mobile Robot Localization and People-Tracking
Abstract—This paper presents a probabilistic algorithm for simultaneously estimating the pose of a mobile robot and the positions of nearby people in a previously mapped environm...
Michael Montemerlo, Sebastian Thrun, William Whitt...
NIPS
2001
13 years 5 months ago
KLD-Sampling: Adaptive Particle Filters
Over the last years, particle filters have been applied with great success to a variety of state estimation problems. We present a statistical approach to increasing the efficienc...
Dieter Fox