no code implementations • 23 Jun 2023 • Alexander Tsaregorodtsev, Michael Buchholz, Vasileios Belagiannis
We, therefore, present an approach for automated and geo-referenced extrinsic calibration of automotive radar sensors that is based on a novel hypothesis filtering scheme.
1 code implementation • 2 May 2023 • Markus Schön, Michael Buchholz, Klaus Dietmayer
Our resulting RT-K-Net sets a new state-of-the-art performance for real-time panoptic segmentation methods on the Cityscapes dataset and shows promising results on the challenging Mapillary Vistas dataset.
1 code implementation • 21 Apr 2023 • Alexander Tsaregorodtsev, Adrian Holzbock, Jan Strohbeck, Michael Buchholz, Vasileios Belagiannis
Our method does not require any human interaction with the information recorded by both the infrastructure and the vehicle.
no code implementations • 17 Apr 2023 • Marvin Klimke, Benjamin Völz, Michael Buchholz
In this work, we propose a method to employ a trained deep reinforcement learning policy for dedicated high-level behavior planning.
no code implementations • 30 Jan 2023 • Marvin Klimke, Benjamin Völz, Michael Buchholz
The present work proposes to leverage reinforcement learning and a graph-based scene representation for cooperative multi-agent planning.
1 code implementation • 8 Aug 2022 • Alexander Tsaregorodtsev, Johannes Müller, Jan Strohbeck, Martin Herrmann, Michael Buchholz, Vasileios Belagiannis
Our approach relies on a coarse initial measurement of the camera pose and builds on lidar sensors mounted on a vehicle with high-precision localization to capture a point cloud of the camera environment.
no code implementations • 18 Jul 2022 • Marvin Klimke, Jasper Gerigk, Benjamin Völz, Michael Buchholz
In this work, we build upon a previously presented graph-based scene representation and graph neural network to approach the problem using reinforcement learning.
2 code implementations • ICCV 2021 • Markus Schön, Michael Buchholz, Klaus Dietmayer
We define monocular geometric scene understanding as the combination of two known tasks: Panoptic segmentation and self-supervised monocular depth estimation.
no code implementations • 15 Jun 2022 • Thomas Griebel, Johannes Müller, Paul Geisler, Charlotte Hermann, Martin Herrmann, Michael Buchholz, Klaus Dietmayer
Therefore, this work presents a novel method for self-assessment of single-object tracking in clutter based on Kalman filtering and subjective logic.
no code implementations • 23 Feb 2022 • Marvin Klimke, Benjamin Völz, Michael Buchholz
Learning-based behavior planning poses several challenges, demanding for a suited input and output representation as well as large amounts of ground-truth data.
1 code implementation • 12 Jan 2022 • Thomas Wodtko, Markus Horn, Michael Buchholz, Klaus Dietmayer
In this work, we present an approach for monocular hand-eye calibration from per-sensor ego-motion based on dual quaternions.
no code implementations • 20 Sep 2021 • Thomas Griebel, Dominik Authaler, Markus Horn, Matti Henning, Michael Buchholz, Klaus Dietmayer
On the one hand, radar offers a direct measurement of the radial velocity of targets in the environment.
1 code implementation • 27 Jan 2021 • Markus Horn, Thomas Wodtko, Michael Buchholz, Klaus Dietmayer
Further, our online calibration approach is tested on the KITTI odometry dataset, which provides data of a lidar and two stereo camera systems mounted on a vehicle.
Robotics
1 code implementation • 22 Jul 2020 • Markus Horn, Nico Engel, Vasileios Belagiannis, Michael Buchholz, Klaus Dietmayer
This work addresses the problem of point cloud registration using deep neural networks.
no code implementations • 1 Jul 2020 • Thomas Griebel, Johannes Müller, Michael Buchholz, Klaus Dietmayer
Thus, by embedding classical Kalman filtering into subjective logic, our method additionally features an explicit measure for statistical uncertainty in the self-assessment.
no code implementations • 5 Nov 2019 • Johannes Müller, Martin Herrmann, Jan Strohbeck, Vasileios Belagiannis, Michael Buchholz
While classical approaches are sensor-specific and often need calibration targets as well as a widely overlapping field of view (FOV), within this work, a cooperative intelligent vehicle is used as callibration target.