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 …

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 …

In this study, we propose a novel extended target tracking algorithm which is capable of
representing the extent of dynamic objects as an ellipsoid with a time-varying orientation …

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 …

Extended object tracking considers the simultaneous estimation of the kinematic state and
the shape parameters of a moving object based on a varying number of noisy detections …

It is often necessary to identify a pattern of observed craters in a single image of the lunar
surface and without any prior knowledge of the camera's location. This so-called “lost-in …

In this work, we present a novel method for tracking an elliptical shape approximation of an
extended object based on a varying number of spatially distributed measurements. For this …

This paper presents a data-driven measurement model for extended object tracking (EOT)
with automotive radar. Specifically, the spatial distribution of automotive radar …

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 …