Underwater robots play a critical role in the marine industry. Object perception is the
foundation for the automatic operations of submerged vehicles in dynamic aquatic …

This work presents the current state-of-the-art in techniques for tracking a number of objects
moving in a coordinated and interacting fashion. Groups are structured objects …

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 …

We provide a derivation of the Poisson multi-Bernoulli mixture (PMBM) filter for multitarget
tracking with the standard point target measurements without using probability generating …

In this paper, we propose using Gaussian processes to track an extended object or group of
objects, that generates multiple measurements at each scan. The shape and the kinematics …

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 …

This paper presents a random set based approach to tracking of an unknown number of
extended targets, in the presence of clutter measurements and missed detections, where the …

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

<? 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 …