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A tutorial on multiple extended object tracking
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 …
objects based on unlabeled noisy point clouds, eg, from radar or lidar sensors. In the first …
Extended object tracking: Introduction, overview and applications
K Granstrom, M Baum, S Reuter - ar** using multi-model PHD filter and map fusion
5G millimeter wave (mmWave) signals can enable accurate positioning in vehicular
networks when the base station and vehicles are equipped with large antenna arrays …
networks when the base station and vehicles are equipped with large antenna arrays …
Gamma Gaussian inverse Wishart probability hypothesis density for extended target tracking using X-band marine radar data
X-band marine radar systems represent a flexible and low-cost tool for the tracking of
multiple targets in a given region of interest. Although suffering several sources of …
multiple targets in a given region of interest. Although suffering several sources of …
Autonomous driving at Ulm University: A modular, robust, and sensor-independent fusion approach
The project “Autonomous Driving” at Ulm University aims at advancing highly-automated
driving with close-to-market sensors while ensuring easy exchangeability of the particular …
driving with close-to-market sensors while ensuring easy exchangeability of the particular …
Which framework is suitable for online 3D multi-object tracking for autonomous driving with automotive 4D imaging radar?
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 …
due to the expanding demand of 3D perception in advanced driver assistance systems …
Tracking multiple vehicles using a variational radar model
A Scheel, K Dietmayer - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
High-resolution radar sensors are able to resolve multiple detections per object and,
therefore, provide valuable information for vehicle environment perception. For instance …
therefore, provide valuable information for vehicle environment perception. For instance …
Spatio-temporal Gaussian process models for extended and group object tracking with irregular shapes
Extended object tracking has become an integral part of many autonomous systems during
the last two decades. For the first time, this paper presents a generic spatio-temporal …
the last two decades. For the first time, this paper presents a generic spatio-temporal …
A Cartesian B-spline vehicle model for extended object tracking
H Kaulbersch, J Honer, M Baum - 2018 21st International …, 2018 - ieeexplore.ieee.org
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 …
proposed, which is tailored to vehicles with an unknown size and orientation that are tracked …
A fast implementation of the labeled multi-Bernoulli filter using Gibbs sampling
S Reuter, A Danzer, M Stübler, A Scheel… - 2017 IEEE Intelligent …, 2017 - ieeexplore.ieee.org
This paper proposes a fast implementation of the Labeled Multi-Bernoulli (LMB) filter based
on a joint prediction and update scheme. The joint calculation prevents the treatment of …
on a joint prediction and update scheme. The joint calculation prevents the treatment of …