68 citations · 137 across the 18 of their papers we have counts for
22 papers
Variational PMB filter via coordinate descent Kullback-Leibler divergence minimisation
Ángel F. García-Fernández, Yuxuan Xia
This paper presents a new derivation of the variational Poisson multi-Bernoulli (V-PMB) filter for multi-target estimation proposed in [#Williams15]. The proposed derivation is bas…
Efficient Implementations of Extended Object PMBM Filters with Blocked Gibbs Sampling
Yuxuan Xia, Ángel F. García-Fernández, Lennart Svensson
This paper considers multiple extended object tracking based on Poisson multi-Bernoulli mixture (PMBM) filtering, which gives the closed-form Bayesian solution for standard multipl…
Recursive Entropic Variational Inference for Nonlinear State-Space Models
Hany Abdulsamad, Ángel F. García-Fernández, Simo Särkkä
We present a class of algorithms for state estimation in nonlinear, non-Gaussian state-space models. Our approach is based on a variational Lagrangian formulation that casts Bayesi…
A Scalable Hybrid Track-Before-Detect Tracking System: Application to Coastal Maritime Radar Surveillance
Lukas Herrmann, Ángel F. García-Fernández, Edmund F. Brekke +1
Despite their theoretical advantages, track-before-detect (TBD) methods remain largely absent from real-world multi-target tracking applications due to their computational complexi…
GOSPA and T-GOSPA quasi-metrics for evaluation of multi-object tracking algorithms
Ángel F. García-Fernández, Jinhao Gu, Lennart Svensson +4
This paper introduces two quasi-metrics for performance assessment of multi-object tracking (MOT) algorithms. One quasi-metric is an extension of the generalised optimal subpattern…
Probabilistic Trajectory GOSPA: A Metric for Uncertainty-Aware Multi-Object Tracking Performance Evaluation
Yuxuan Xia, Ángel F. García-Fernández, Johan Karlsson +3
This paper presents a generalization of the trajectory general optimal sub-pattern assignment (GOSPA) metric for evaluating multi-object tracking algorithms that provide trajectory…