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 …

Targets that generate multiple measurements at a given instant in time are commonly known
as extended targets. These present a challenge for many tracking algorithms, as they violate …

<? Pub Dtl=""?> This paper presents a cardinalized probability hypothesis density (CPHD)
filter for extended targets that can result in multiple measurements at each scan. The …

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 …

X-band marine radar systems represent a flexible and low-cost tool for the tracking of
multiple targets in a given region of interest. Although suffering several sources of …

This paper proposes a new adaptive framework for tracking multiple objects in the presence
of data association uncertainty and heavy clutter, either with or without knowledge of the …

The goal of multi-object tracking is to estimate the number of objects and their states
recursively over time. In the presence of extended objects, ie objects with an extent that is …

Multiple extended target tracking (METT) is a common and challenging problem. Various
solutions for METT have been proposed, however, most of them focus on the single-sensor …

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 …