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 paper addresses the problem of maneuvering extended object tracking, in which the
object extension (OE) and the turn rate are identified simultaneously. Due to its non-linearity …

Ground radar stations observing specific regions of interest nowadays provide detections in
the form of point-clouds. This article focuses on a framework that consists of an elliptical …

This paper proposes a novel extended object tracking (EOT) problem, in which the three
quantities of object extension (OE), including semi-axis lengths and orientation, are depicted …

This article addresses the problem of tracking an elliptical object (eg, a vehicle or aircraft
carrier) with unknown but fixed lengths of axes. In practice, such axis lengths are usually …

Recursive estimation of the orientation and spatial extent of an object from sparse
measurements is a challenging yet crucial problem. To this end, we propose a problem …

Simultaneously estimating the kinematic properties and the spatial extent of an object based
on noisy point clouds is a ubiquitous problem in a variety of environment perception …

Most visual object tracking (VOT) algorithms treat the object as a single point in the output
score map, and the bounding box is estimated by a multi-scale search. Further, most of them …

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 …

This work deals with the distributed extended object tracking with nonlinear noisy
measurements. Therein, we use the orientation and semi-axes as individual parameters to …