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20182022
most citedTrajectory Poisson multi-Bernoulli filters

93 citations · 152 across the 8 of their papers we have counts for

collaborators

9 papers

eess.SP2022

Trajectory PMB Filters for Extended Object Tracking Using Belief Propagation

Yuxuan Xia, Ángel F. García-Fernández, Florian Meyer +3

In this paper, we propose a Poisson multi-Bernoulli (PMB) filter for extended object tracking (EOT), which directly estimates the set of object trajectories, using belief propagati…

eess.SP2022★ 11 cited

Multiple Object Trajectory Estimation Using Backward Simulation

Yuxuan Xia, Lennart Svensson, Ángel F. García-Fernández +3

This paper presents a general solution for computing the multi-object posterior for sets of trajectories from a sequence of multi-object (unlabelled) filtering densities and a mult…

eess.SP2020

Backward Simulation for Sets of Trajectories

Yuxuan Xia, Lennart Svensson, Ángel F. García-Fernández +2

This paper presents a solution for recovering full trajectory information, via the calculation of the posterior of the set of trajectories, from a sequence of multitarget (unlabell…

cs.CV2020★ 93 cited

Trajectory Poisson multi-Bernoulli filters

Ángel F. García-Fernández, Lennart Svensson, Jason L. Williams +2

This paper presents two trajectory Poisson multi-Bernoulli (TPMB) filters for multi-target tracking: one to estimate the set of alive trajectories at each time step and another to…

eess.SP2020

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…

eess.SP2019★ 13 cited

Poisson Multi-Bernoulli Mixtures for Sets of Trajectories

Karl Granström, Lennart Svensson, Yuxuan Xia +2

The Poisson Multi-Bernoulli Mixture (PMBM) density is a conjugate multi-target density for the standard point target model with Poisson point process birth. This means that both th…

eess.SP2019★ 27 cited

Multi-Scan Implementation of the Trajectory Poisson Multi-Bernoulli Mixture Filter

Yuxuan Xia, Karl Granström, Lennart Svensson +2

The Poisson multi-Bernoulli mixture (PMBM) and the multi-Bernoulli mixture (MBM) are two multi-target distributions for which closed-form filtering recursions exist. The PMBM has a…

eess.SP2019★ 4 cited

Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories

Yuxuan Xia, Karl Granström, Lennart Svensson +2

The Poisson multi-Bernoulli mixture (PMBM) is a multi-target distribution for which the prediction and update are closed. By applying the random finite set (RFS) framework to multi…

eess.SP2018★ 4 cited

Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering

Yuxuan Xia, Karl Granström, Lennart Svensson +3

The Poisson multi-Bernoulli mixture (PMBM) is a multi-object conjugate prior for the closed-form Bayes random finite sets filter. The extended object PMBM filter provides a closed-…