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 …

Online 3D multi-object tracking (MOT) has recently received significant research interests
due to the expanding demand of 3D perception in advanced driver assistance systems …

This paper proposes a Poisson multi-Bernoulli mixture (PMBM) filter for coexisting point and
extended targets, ie, for scenarios where there may be simultaneous point and extended …

摘要针对复杂不确定性环境下具有不规则形状的多扩展目标跟踪问题, 提出了一种基于星凸形
随机超曲面模型(Starconvex RHM) 的多扩展目标多伯努利滤波算法. 首先, 在有限集统计(Finite …

This article shows that the Poisson multi-Bernoulli mixture (PMBM) density is a multi-target
conjugate prior for general target-generated measurement distributions and arbitrary clutter …

In an intelligent transportation system (ITS), the single motion model is not enough to meet
the needs of simulation systems (or practical applications) and guarantee good tracking …

The Poisson multi-Bernoulli mixture (PMBM) is a multi-target distribution for which the
prediction and update are closed. By applying the random finite set (RFS) framework to multi …

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) …

This paper presents a robust Poisson multi-Bernoulli mixture (PMBM) filter using adaptive
birth distributions for the tracking of multiple extended targets. Firstly, in order to be immune …

This paper considers the problem of indistinguishable group target tracking, where the
individual targets within a group are closely spaced and resolvable, move in a coordinated …