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GLOBECOM
2009
IEEE
13 years 8 months ago
Restarting Particle Filters: An Approach to Improve the Performance of Dynamic Indoor Localization
Particle filters have been found to be effective in tracking mobile targets in indoor environments. One frequently encountered problem in these settings occurs when the target'...
Begumhan Turgut, Richard P. Martin
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...
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
13 years 11 months ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee
ICMCS
2006
IEEE
101views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Power-Aware Particle Filtering for Video Tracking
This paper presents a novel approach to particle filtering which minimizes the total tracking distortion by considering dynamic variance of proposal density and adaptive number o...
Pan Pan, Dan Schonfeld
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