297 citations · 1.1k across the 32 of their papers we have counts for
7 papers · 1 filter
Posterior linearisation smoothing with robust iterations
Jakob Lindqvist, Simo Särkkä, Ángel F. García-Fernández +2
This paper considers the problem of iterative Bayesian smoothing in nonlinear state-space models with additive noise using Gaussian approximations. Iterative methods are known to i…
An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA
Ángel F. García-Fernández, Marcel Hernandez, Simon Maskell
This paper presents an analysis on sensor management using a cost function based on a multi-target metric, in particular, the optimal subpattern-assignment (OSPA) metric, the unnor…
Tracking multiple spawning targets using Poisson multi-Bernoulli mixtures on sets of tree trajectories
Ángel F. García-Fernández, Lennart Svensson
This paper proposes a Poisson multi-Bernoulli mixture (PMBM) filter on the space of sets of tree trajectories for multiple target tracking with spawning targets. A tree trajectory…
A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms
Ángel F. García-Fernández, Abu Sajana Rahmathullah, Lennart Svensson
This paper proposes a metric for sets of trajectories to evaluate multi-object tracking algorithms that includes time-weighted costs for localisation errors of properly detected ta…
Continuous-discrete multiple target tracking with out-of-sequence measurements
Ángel F. García-Fernández, Wei Yi
This paper derives the optimal Bayesian processing of an out-of-sequence (OOS) set of measurements in continuous-time for multiple target tracking. We consider a multi-target syste…
Temporal Parallelisation of Dynamic Programming and Linear Quadratic Control
Simo Särkkä, Ángel F. García-Fernández
This paper proposes a general formulation for temporal parallelisation of dynamic programming for optimal control problems. We derive the elements and associative operators to be a…
Temporal Parallelization of Inference in Hidden Markov Models
Sakira Hassan, Simo Särkkä, Ángel F. García-Fernández
This paper presents algorithms for parallelization of inference in hidden Markov models (HMMs). In particular, we propose parallel backward-forward type of filtering and smoothing…