IROS
2008
IEEE
14 years 6 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
14 years 6 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
14 years 6 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
14 years 6 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
14 years 6 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
14 years 6 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...