IROS
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
IROS
2008
IEEE
13 years 11 months ago
2008
IEEE
—We present a novel particle filter implementation for estimating the pose of tags in the environment with respect to an RFID-equipped robot. This particle filter combines sign...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...
IROS
2009
IEEE
13 years 11 months ago
2009
IEEE
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...
ICRA
2009
IEEE
13 years 11 months ago
2009
IEEE
— A new approach to the 3D human motion tracking problem is proposed, which combines several particle filters with a physical simulation of a flexible body model. The flexible...
PERVASIVE
2009
Springer
13 years 11 months ago
2009
Springer
Location information is an important source of context for ubiquitous computing systems. We have previously developed a wearable location system that combines a foot-mounted inerti...