64 search results - page 4 / 13 » Niching in Monte Carlo Filtering Algorithms |
IROS
2006
IEEE
14 years 3 months ago
2006
IEEE
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
We briefly present the current state-of-the-art approaches for group and extended object tracking with an emphasis on particle methods which have high potential to handle complex...
ICMCS
2007
IEEE
14 years 3 months ago
2007
IEEE
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
ICCV
2003
IEEE
14 years 11 months ago
2003
IEEE
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...
NIPS
1998
13 years 11 months ago
1998
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...