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

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 …

In this paper, we propose a novel method for estimating an elliptic shape approximation of a
moving extended object that gives rise to multiple scattered measurements per frame. For …

Modeling 2D extended targets with star-convex Random Hypersurface Models (RHMs)
allows for accurate object pose and shape estimation. A star-convex RHM models the shape …

We apply the concept of random set cluster processes in combination with a learned
measurement model to extended target tracking. The spatial distribution of measurements …

In this paper, approximating the shape of a sailing boat using elliptic cones is investigated.
Measurements are assumed to be gathered from the target's surface recorded by 3D …

We develop an Expectation-Maximization (EM) algorithm for the simultaneous tracking and
shape estimation of a star-convex object based on multiple spatially distributed …