8 search results - page 1 / 2 » Risk-Sensitive Particle Filters for Mitigating Sample Impove... |
TSP
2008
13 years 4 months ago
2008
Risk-sensitive filters (RSF) put a penalty to higher-order moments of the estimation error compared to conventional filters as the Kalman filter minimizing the mean square error. ...
ICIP
2005
IEEE
13 years 10 months ago
2005
IEEE
—Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density...
JIRS
2006
13 years 4 months ago
2006
The implementation of a particle filter (PF) for vision-based bearing-only simultaneous localization and mapping (SLAM) of a mobile robot in an unstructured indoor environment is p...
CORR
2002
Springer
13 years 4 months ago
2002
Springer
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
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...