297 citations · 1.1k across the 32 of their papers we have counts for
6 papers · 1 filter
Data-driven clustering and Bernoulli merging for the Poisson multi-Bernoulli mixture filter
Marco Fontana, Ángel F. García-Fernández, Simon Maskell
This paper proposes a clustering and merging approach for the Poisson multi-Bernoulli mixture (PMBM) filter to lower its computational complexity and make it suitable for multiple…
Spatiotemporal Constraints for Sets of Trajectories with Applications to PMBM Densities
Karl Granström, Lennart Svensson, Yuxuan Xia +2
In this paper we introduce spatiotemporal constraints for trajectories, i.e., restrictions that the trajectory must be in some part of the state space (spatial constraint) at some…
Gaussian implementation of the multi-Bernoulli mixture filter
Ángel F. García-Fernández, Yuxuan Xia, Karl Granström +2
This paper presents the Gaussian implementation of the multi-Bernoulli mixture (MBM) filter. The MBM filter provides the filtering (multi-target) density for the standard dynamic a…
Spooky effect in optimal OSPA estimation and how GOSPA solves it
Ángel F. García-Fernández, Lennart Svensson
In this paper, we show the spooky effect at a distance that arises in optimal estimation of multiple targets with the optimal sub-pattern assignment (OSPA) metric. This effect refe…
Poisson multi-Bernoulli mixture trackers: continuity through random finite sets of trajectories
Karl Granström, Lennart Svensson, Yuxuan Xia +2
The Poisson multi-Bernoulli mixture (PMBM) is an unlabelled multi-target distribution for which the prediction and update are closed. It has a Poisson birth process, and new Bernou…
An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition
Yuxuan Xia, Karl Granström, Lennart Svensson +1
This paper proposes an efficient implementation of the Poisson multi-Bernoulli mixture (PMBM) trajectory filter. The proposed implementation performs track-oriented N-scan pruning…