S
Simon Maskell
Researcher at University of Liverpool
Publications - 155
Citations - 15562
Simon Maskell is an academic researcher from University of Liverpool. The author has contributed to research in topics: Particle filter & Computer science. The author has an hindex of 27, co-authored 128 publications receiving 14367 citations. Previous affiliations of Simon Maskell include Qinetiq & University of Cambridge.
Papers
More filters
Journal ArticleDOI
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
TL;DR: Both optimal and suboptimal Bayesian algorithms for nonlinear/non-Gaussian tracking problems, with a focus on particle filters are reviewed.
Proceedings ArticleDOI
A tutorial on particle filters for on-line nonlinear/non-Gaussian Bayesian tracking
Simon Maskell,Neil Gordon +1 more
TL;DR: Both optimal and suboptimal Bayesian algorithms for nonlinear/non-Gaussian tracking problems, with a focus on particle filters are reviewed.
Journal ArticleDOI
Smoothing algorithms for state–space models
TL;DR: A generalised two-filter smoothing formula is proposed which only requires approximating probability distributions and applies to any state–space model, removing the need to make restrictive assumptions used in previous approaches to this problem.
Proceedings ArticleDOI
Poisson models for extended target and group tracking
TL;DR: In this paper, the measurements are modelled as a Poisson process with a spatially dependent rate parameter, which allows to model extended targets as an intensity distribution rather than a set of points and, for a target formation, it gives the option of modelling part of the group as a spatial distribution of target density.
Proceedings ArticleDOI
Fast particle smoothing: if I had a million particles
TL;DR: This work proposes efficient particle smoothing methods for generalized state-spaces models by integrating dual tree recursions and fast multipole techniques with forward-backward smoothers, a new generalized two-filter smoother and a maximum a posteriori (MAP) smoother.