Michael Ulrich

Principal Researcher, Corporate Research, Bosch

Joined

October 2024

Names

Michael Ulrich (Preferred)

Emails

****@de.bosch.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Principal Researcher

Corporate Research, Bosch (bosch.com)

2024 – Present

Researcher

Corporate Research, Bosch (bosch.com)

2018 – 2024

PhD student

Institute of Signal Processing and System Theory, Universität Stuttgart (uni-stuttgart.de)

2014 – 2018

Advisors, Relations & Conflicts

Coauthor

Abhinav Valada

2022 – Present

PhD Advisor

Bin Yang

2014 – 2018

Expertise

Radar perception

Present

Perception in automated driving

Present

Radar signal processing

Present

Publications

Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection
Michael Kösel, Marcel Schreiber, Michael Ulrich, Claudius Gläser, Klaus Dietmayer
- IV 2024
- Readers: Everyone
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving
Karim Armanious, Maurice Quach, Michael Ulrich, Timo Winterling, Johannes Friesen, Sascha Braun, Daniel Jenet, Yuri Feldman, Eitan Kosman, Philipp Rapp, Volker Fischer, Marc Sons, Lukas Kohns, Daniel Eckstein, Daniela Egbert, Simone Letsch, Corinna Voege, Felix Huttner, Alexander Bartler, Robert Maiwald et al. (8 additional authors not shown)
- CoRR 2024
- Readers: Everyone
Exploiting Sparsity in Automotive Radar Object Detection Networks
Marius Lippke, Maurice Quach, Sascha Braun, Daniel Köhler, Michael Ulrich, Bastian Bischoff, Wei Yap Tan
- CoRR 2023
- Readers: Everyone
Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
Daniel Köhler, Maurice Quach, Michael Ulrich, Frank Meinl, Bastian Bischoff, Holger Blume
- FUSION 2023
- Readers: Everyone
Self-Supervised Occupancy Grid Map Completion for Automated Driving
Jugoslav Stojcheski, Thomas Nürnberg, Michael Ulrich, Thomas Michalke, Claudius Gläser, Andreas Geiger
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- IV 2023
- Readers: Everyone
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks
Daniel Niederlöhner, Michael Ulrich, Sascha Braun, Daniel Köhler, Florian Faion, Claudius Gläser, André Treptow, Holger Blume
- IV 2022
- Readers: Everyone
DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars
Florian Drews, Di Feng, Florian Faion, Lars Rosenbaum, Michael Ulrich, Claudius Gläser
- IROS 2022
- Readers: Everyone
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar
Michael Ulrich, Sascha Braun, Daniel Köhler, Daniel Niederlöhner, Florian Faion, Claudius Gläser, Holger Blume
- ITSC 2022
- Readers: Everyone
OFDM-MIMO Radar With Optimized Nonequidistant Subcarrier Interleaving
Gor Hakobyan, Michael Ulrich, Bin Yang
- IEEE Trans. Aerosp. Electron. Syst. 2020
- Readers: Everyone
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections
Michael Ulrich, Claudius Gläser, Fabian Timm
- CoRR 2020
- Readers: Everyone

View all 18 publications

Co-Authors

View all 57 co-authors