93 citations · 288 across the 36 of their papers we have counts for
20 papers · 1 filter
An Extended Object Poisson Multi-Bernoulli Filter with Zero-Inflated Poisson Measurement Model Using Belief Propagation
Xueqi Qiu, Yuxuan Xia, Hyowon Kim +1
This paper presents an efficient implementation of the extended object Poisson multi-Bernoulli (PMB) filter under the zero-inflated Poisson (ZIP) object measurement model using par…
Event-Triggered Distributed Target Tracking via PRIMEX
Yuxuan Xia, Kuo-Chu Chang, Xueqi Qiu +3
PRIMEX (prime-based graph encoding and extraction) is a recently proposed framework for scalable distributed fusion. In PRIMEX, the information pedigree of state estimates or proba…
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…
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…
Target Handover in Distributed Integrated Sensing and Communication
Yu Ge, Ossi Kaltiokallio, Hui Chen +7
The concept of 6G distributed integrated sensing and communications (DISAC) builds upon the functionality of integrated sensing and communications (ISAC) by integrating distributed…
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…
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…
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…
Which Framework is Suitable for Online 3D Multi-Object Tracking for Autonomous Driving with Automotive 4D Imaging Radar?
Jianan Liu, Guanhua Ding, Yuxuan Xia +4
Online 3D multi-object tracking (MOT) has recently received significant research interests due to the expanding demand of 3D perception in advanced driver assistance systems (ADAS)…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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-…