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 …

Multi-modal fusion is imperative to the implementation of reliable object detection and
tracking in complex environments. Exploiting the synergy of heterogeneous modal …

In this article, we propose a Poisson multi-Bernoulli (PMB) filter for extended object tracking
(EOT), which directly estimates the set of object trajectories, using belief propagation (BP) …

Multiple extended target tracking (ETT) has gained increasing attention due to the
development of high-precision LiDAR and radar sensors in automotive applications. For …

To track multiple extended targets in dense clutter, an improved Gaussian processes linear
joint probabilistic data association (IGP-LJPDA) method is proposed. This method consists …

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 …

This article deals with the problem of tracking targets with X-band marine radars in the
complicated sea clutter background. By jointly exploiting the target's kinematic and …

Target tracking is essential for autonomous vehicles to avoid collisions. Using a stereo
camera for the target tracking gives a dense representation of the targets, contrary to the the …

Roadside perception is a key component in intelligent transportation systems. In this paper,
we present a novel three-dimensional (3D) extended object tracking (EOT) method, which …

In the past years, algorithms for 3D shape tracking using radial functions in spherical
coordinates represented with different methods have been proposed. However, we have …