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 …

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 …

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 …

In this paper a novel representation of the contour of an spatially extended object is
proposed, which is tailored to vehicles with an unknown size and orientation that are tracked …

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 …

In this work, we discuss and compare Kalman filter-based approaches for tracking an elliptic
extended object parameterized with orientation and semi-axes lengths. The methods …

We present an alternative inference framework for the Gaussian process-based extended
object tracking (GPEOT) models. The method provides an approximate solution to the …

A decentralized Poisson multi-Bernoulli filter is proposed to track multiple vehicles using
multiple high-resolution sensors. Independent filters estimate the vehicles' presence, state …

In this paper, multiple sensor measurement update is studied for a random matrix model.
Four different updates are presented and evaluated: three updates based on parametric …

In this article, we investigate the problem of tracking objects with unknown shapes using 3-D
point cloud data. We propose a Gaussian process-based model to jointly estimate object …