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 …

The random hypersurface model (RHM) is introduced for estimating a shape approximation
of an extended object in addition to its kinematic state. An RHM represents the spatial extent …

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 considers tracking of extended targets using data from laser range sensors. Two
types of extended target shapes are considered, rectangular and elliptical, and a method to …

In this work, we propose a novel extended target tracking algorithm, which is capable of
representing a target or a group of targets with multiple ellipses. Each ellipse is modeled by …

The high-precision short-arc measurement is a huge challenge in scientific research and
engineering practice. The popular traditional least square fitting (TLSF) however fails to …

Extended object tracking has become an integral part of many autonomous systems during
the last two decades. For the first time, this paper presents a generic spatio-temporal …

This paper presents a novel approach to track a nonconvex shape approximation of an
extended target based on noisy point measurements. For this purpose, a novel type of …

In this study, we consider the challenging task of tracking dynamic 3D objects with unknown
shapes by using sparse point cloud measurements gathered from the surface of the objects …

To address the challenge of tracking irregular extended target while adapting to unknown
measurement noise, this paper presents a novel tracking algorithm for irregular extended …