Publications
Highlighted Works
RadarScenes Dataset (2021)
Ole Schumann, Markus Hahn, Nicolas Scheiner, Fabio Weishaupt, Julius F. Tilly, Jürgen Dickmann, Christian Wöhler
A Real-World Radar Point Cloud Data Set for Automotive Applications
arXiv | 1000+ citations
Scene Understanding with Automotive Radar (2020)
O. Schumann, J. Lombacher, M. Hahn, J. Dickmann, C. Wöhler
IEEE Transactions on Intelligent Vehicles, Vol. 5, No. 2, pp. 188-203
Survey paper on radar perception for autonomous driving.
Semantic Radar Grids (2017)
J. Lombacher, K. Laudt, M. Hahn, J. Dickmann, C. Wöhler
IEEE Intelligent Vehicles Symposium (IV 2017)
Novel representation for radar-based environment perception.
Selected Recent Publications
Machine Learning for Radar
A. Laribi, M. Hahn, J. Dickmann, C. Waldschmidt (2018)
A Machine Learning Approach for Radar Height Finding
International Conference on Intelligent Transportation Systems (ITSC 2018)O. Schumann, M. Hahn, J. Dickmann, C. Wöhler (2018)
Supervised Clustering for Radar Applications
International Conference on Microwaves for Intelligent Mobility (ICMIM 2018)
🏆 Best Poster Award
Localization and Mapping
M. Rapp, M. Barjenbruch, M. Hahn, J. Dickmann, K. Dietmayer (2017)
Probabilistic Ego-Motion Estimation using Multiple Automotive Radar Sensors
Robotics and Autonomous Systems, Vol. 89, pp. 136-146M. Rapp, M. Hahn, M. Thom, J. Dickmann, K. Dietmayer (2015)
Semi-Markov Process Based Localization using Radar in Dynamic Environments
Intelligent Transportation Systems Conference (ITSC 2015)
🏆 Best Paper Award
Perception and Detection
R. Dubé, M. Hahn, M. Schütz, J. Dickmann, D. Gringras (2014)
Detection of Parked Vehicles from a Radar based Occupancy Grid
Intelligent Vehicle Symposium (IV 2014)J. Dickmann et al., including M. Hahn (2015)
Making Bertha See Even More: Radar Contribution
IEEE Access
PhD Thesis
M. Hahn (2012)
Raum-zeitliche Objekt- und Aktionserkennung: ein statistischer Ansatz für reale Umgebungen
Dissertation, Universität Bielefeld
urn:nbn:de:hbz:361-23202528
Supervised Doctoral Theses
Amir Laribi (2024)
High Resolution Radar based 3D Estimation of Extended Targets for Automotive Applications
Focus: SAR imaging, height estimation, and 3D reconstruction with automotive radar.
Ole Schumann (2021)
Machine Learning Applied to Radar Data: Classification and Semantic Instance Segmentation of Moving Road Users
Focus: Deep learning for radar point cloud processing and object classification.
Jakob Lombacher (2021)
Semantische Umgebungserfassung auf Basis von Radar-Merkmalskarten
Focus: Semantic mapping and environment understanding using radar features.
Matthias Rapp (2019)
Robuste Repräsentation sich zeitlich verändernder Umgebungen mittels Radar
Focus: Temporal representations and localization in dynamic environments.
Awards
- IEEE Radar Conference (2018): 3rd Prize for Doppler Beam Sharpening Goes Self Parking
- ICMIM (2018): Best Paper Award for Performance Investigation of Automotive SAR Imaging
- ICMIM (2018): Best Poster Award for Supervised Clustering for Radar Applications
- ITSC (2015): Best Paper Award for Semi-Markov Process Based Localization
- DAGM (2007): Young Researcher Award (3rd Prize)
Complete Publication List
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