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

27 citations · 31 across the 2 of their papers we have counts for

collaborators

5 papers

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

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.SP201927 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.SP20194 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…