This tutorial introduces state-of-the-art methods for tracking multiple spatially extended
objects based on unlabeled noisy point clouds, eg, from radar or lidar sensors. In the first …

This article provides an elaborate overview of current research in extended object tracking.
We provide a clear definition of the extended object tracking problem and discuss its …

To prevent the outbreak of the Coronavirus disease (COVID-19), many countries around the
world went into lockdown and imposed unprecedented containment measures. These …

This paper presents a Poisson multi-Bernoulli mixture (PMBM) conjugate prior for multiple
extended object filtering. A Poisson point process is used to describe the existence of yet …

Maritime surveillance (MS) is an important domain for many national and international
institutions, agencies, and bodies. In this context, the MS initiatives are aimed to enhance …

Multiple radar systems represent an attractive option for target tracking because they can
significantly enlarge the area coverage and improve both the probability of trajectory …

This paper proposes a Poisson multi-Bernoulli mixture (PMBM) filter for coexisting point and
extended targets, ie, for scenarios where there may be simultaneous point and extended …

X-band marine radar systems are flexible and low-cost tools for monitoring multiple targets
in a surveillance area. Although they may suffer from several sources of interference, eg, sea …

For extended-object/group-target tracking (EOT/GTT), the random-matrix approach assumes
that measurements are linear in the state and noise with a covariance being a random …

Model-based approaches for target tracking and smoothing estimate the infinite number of
possible target trajectories using a finite set of models. This article proposes a data-driven …