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 addresses the problem of tracking multiple extended targets in three-dimensional
space. We propose the Gaussian process Gaussian mixture probability hypothesis density …

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 paper, an implementation of an extended target tracking filter using measurements
from high-resolution automotive Radio Detection and Ranging (RADAR) is proposed. Our …

While manipulating rigid objects is an extensively explored research topic, deformable linear
object (DLO) manipulation seems significantly underdeveloped. A potential reason for this is …

A novel image moment-based model for shape estimation and tracking of an extended
target moving with a complex trajectory is presented. The proposed extended object tracking …

This paper proposes fast and novel methods to jointly estimate the target's unknown 3D
shape and dynamics. Measurements are noisy and sparsely distributed 3D points from a …

In this paper, a B-spline chained multiple random matrix models (RMMs) representation is
proposed to model geometric characteristics of an elongated deformable object. The hyper …

Nonlinear filtering is the most important aspect in state estimation with real-world systems.
While the Kalman filter provides a simple though optimal estimate for linear systems …

We propose a new recursive method for simultaneous estimation of both the pose and the
shape of a three-dimensional extended object. The key idea of the presented method is to …