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20182026
most citedTrajectory Poisson multi-Bernoulli filters

93 citations · 247 across the 22 of their papers we have counts for

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13 papers · 1 filter

eess.SP2025

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…

eess.SP2025

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…

eess.SP2024

Probabilistic GOSPA: A Metric for Performance Evaluation of Multi-Object Filters with Uncertainties

Yuxuan Xia, Ángel F. García-Fernández, Johan Karlsson +3

This paper presents a probabilistic generalization of the Generalized Optimal Sub-Pattern Assignment (GOSPA) metric, termed P-GOSPA. The GOSPA metric has been widely used to evalua…

eess.SP2024

Hybrid PHD-PMB Trajectory Smoothing Using Backward Simulation

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

The probability hypothesis density (PHD) and Poisson multi-Bernoulli (PMB) filters are two popular set-type multi-object filters. Motivated by the fact that the multi-object filter…

eess.SP2024

Batch SLAM with PMBM Data Association Sampling and Graph-Based Optimization

Yu Ge, Ossi Kaltiokallio, Yuxuan Xia +6

Simultaneous localization and mapping (SLAM) methods need to both solve the data association (DA) problem and the joint estimation of the sensor trajectory and the map, conditioned…

eess.SP2023

Markov Chain Monte Carlo Multi-Scan Data Association for Sets of Trajectories

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

This paper considers a batch solution to the multi-object tracking problem based on sets of trajectories. Specifically, we present two offline implementations of the trajectory Poi…

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…

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-…