This article presents the Labeled Random Finite Set (LRFS) framework for multi-object
systems–systems in which the number of objects and their states are unknown and vary …

Multiobject tracking provides situational awareness that enables new applications for
modern convenience, public safety, and homeland security. This paper presents a factor …

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 …

This paper studies the multitarget tracking problem based on an asynchronous network of
sensors with different sampling rates, where each sensor runs a cardinalized probability …

Nowadays, accurate and real-time vehicle tracking is critical to ensure the safety of
intelligent vehicles. However, tracking in the complex traffic environments still remains a …

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

Ground multi-target tracking (MTT) is one of the core tasks of airborne ground moving target
indicator (GMTI) radar and automotive radar. However, ground MTT still remains a …

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

Tracking an unknown number of targets based on multipath measurements provided by an
over-the-horizon radar (OTHR) network with a statistical ionospheric model is complicated …

This paper presents two multi-Bernoulli filters on sets of trajectories for multiple target
tracking. The first filter provides a multi-Bernoulli approximation of the posterior density over …