Results 1 -
2 of
2
The marginalized particle filter in practice
- in Proceedings of IEEE Aerospace Conference, Big Sky
, 2006
"... Positioning of moving platforms has been a technical driver for real-time applications of the particle filter (PF) in both the signal processing and the robotics communities. For this reason, we will spend some time to explain several such applications in detail, and to summarize the experiences of ..."
Abstract
-
Cited by 11 (9 self)
- Add to MetaCart
(Show Context)
Positioning of moving platforms has been a technical driver for real-time applications of the particle filter (PF) in both the signal processing and the robotics communities. For this reason, we will spend some time to explain several such applications in detail, and to summarize the experiences of using the PF in
THE MARGINALIZED PARTICLE FILTER -- ANALYSIS, APPLICATIONS AND GENERALIZATIONS
, 2006
"... The marginalized particle filter is a powerful combination of the particle filter and the Kalman filter, which can be used when the underlying model contains a linear sub-structure, subject to Gaussian noise. This paper outlines the marginalized particle filter and very briefly hint at possible ge ..."
Abstract
-
Cited by 4 (2 self)
- Add to MetaCart
(Show Context)
The marginalized particle filter is a powerful combination of the particle filter and the Kalman filter, which can be used when the underlying model contains a linear sub-structure, subject to Gaussian noise. This paper outlines the marginalized particle filter and very briefly hint at possible generalizations, giving rise to a larger family of marginalized nonlinear filters. Furthermore, we analyze several properties of the marginalized particle filter, including its ability to reduce variance and its computational complexity. Finally, we provide an introduction to various applications of the marginalized particle filter.
