Generalized Labeled Multi-Bernoulli (GLMB) densities arise in a host of multi-object system
applications analogous to Gaussians in single-object filtering. However, computing the …

We consider the problem of online path planning for joint detection and tracking of multiple
unknown radio-tagged objects. This is a necessary task for gathering spatio-temporal …

We consider the challenging problem of online planning for a team of agents to
autonomously search and track a time-varying number of mobile objects under the practical …

This paper introduces a novel consensus-based labeled multi-Bernoulli (LMB) filter to tackle
multi-target tracking (MTT) in a communication resource-sensitive distributed sensor network …

This paper proposes a novel multi-sensor control scheme for tracking of targets of interest in
the presence of clutter and detection uncertainty, using labeled multi-Bernoulli filters. The …

In a non-line-of-sight (NLOS) environment, ultra-wide band (UWB) high accuracy positioning
has been one of the hot topics in studying indoor positioning. In this paper, a factor graph …

In sensor management, the existing researches rely on traditional system modeling and
strive to maximize the information superiority. In fact, on the one hand, complex …

In many multi-object tracking applications, the sensor (s) may have controllable states.
Examples include movable sensors in multi-target tracking applications in defence, and …

The measurements from multistatic radar systems are typically subjected to complicated
data association, noise corruption, missed detection, and false alarms. Moreover, most of the …

To track multiple maneuvering targets hidden in the Doppler blind zone (DBZ), we have
proposed an MM-GLMB-DBZ tracker based on the latest multiple model generalized labeled …