Professor Dr.-Ing. Markus Hahn

Professor
Faculty Electrical Engineering and Information Technology
Directly to ...

Functions at the university

Professor Electrical Engineering and Information Technology
Member Department council Electrical Engineering and Information Technology
Member Senate

Research and teaching priorities

  • An Introduction to Programming in C
  • Introduction to Object-Oriented Programming in C++
  • Software Engineering
  • Distributed Systems

  • Edge Computing and AI
     

    Course materials for my modules are available exclusively on the THU’s Moodle platform.

About me

Markus Hahn completed his degree at the Technical University of Ilmenau in 2007, specialising in cognitive robotics, and subsequently carried out research into safe human-machine interaction as part of a collaboration between Daimler AG and the University of Bielefeld. Since 2010, he has worked in the automotive industry for companies such as Bosch, Daimler and Continental on topics relating to assisted and autonomous driving in the areas of perception, fusion and functionality.
His research interests include topics such as safe autonomous systems, including their middleware, distributed algorithms, software engineering, ‘edge AI’ – enabling sensors and end devices to ‘learn to think’ – and radar scene understanding.

Forschungsschwerpunkte:
 

  • ​KI und EdgeAI, sodass Sensoren und Endgeräte das "Denken" lernen
  • Automated Driving, Perception, Sensor-Fusion und Mapping
  • Scene-Understanding mit Kameras, Lidaren oder Radaren
     
  • Software Engineering und verteilte Systeme
     


Publikationen:

 

Link zu allen Publikationen
 

Ausgewählte Publikationen:
 

 

  • ​Ole Schumann, Markus Hahn, Nicolas Scheiner, Fabio Weishaupt, Julius F. Tilly, Jürgen Dickmann, Christian Wöhler, RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications, Pre-Print: arxiv.org/abs/2104.02493, 2021.
  • O. Schumann, J. Lombacher, M. Hahn, J. Dickmann, and C. Wöhler, Scene understanding with automotive radar, IEEE Transactions on Intelligent Vehicles 5 (2), 188-203, 2020.
  • A. Laribi, M. Hahn, J. Dickmann, and Christian Waldschmidt, A Machine Learning Approach for Radar Height Finding, International Conference on Intelligent Transportation Systems 2018 (ITSC 2018).
  • M. Rapp, M. Barjenbruch, M. Hahn, J. Dickmann, K. Dietmayer, Probabilistic Ego-Motion Estimation using Multiple Automotive Radar Sensors, Robotics and Autonomous Systems Volume 89, March 2017, Pages 136-146.​
  • J. Lombacher, K. Laudt, M. Hahn, J. Dickmann, and C. Wöhler, Semantic Radar Grids, Intelligent Vehicles Symposium 2017 (IV 2017), Redondo Beach, USA.
  • J. Dickmann, N. Appenrodt, J. Klappstein, H. L. Bloecher, M. Muntzinger, A. Sailer, M. Hahn, C. Brenk, Making Bertha See Even More: Radar Contribution, IEEE Access, July 2015
  • R. Dubé, M. Hahn, M. Schütz, J. Dickmann, D. Gringras, Detection of Parked Vehicles from a Radar based Occupancy Grid, Intelligent Vehicle Symposium 2014 (IV 2014), Jun. 2014, Dearborn, USA.
  • Markus Hahn, Raum-zeitliche Objekt- und Aktionserkennung: ein statistischer Ansatz für reale Umgebungen, Dissertation Universität Bielefeld, urn:nbn:de:hbz:361-23202528
  • Markus Hahn, Lars Krüger, and Christian Wöhler, 3D Action Recognition and Long-term Prediction of Human Motion. In A. Gasteratos, M. Vincze, and J. Tsotsos, editors, In Proc.of Int. Conf. on Computer Vision Systems, Santorini, Greece, 2008.
     

 

Betreute Promotionen:
 

  • ​Amir Laribi, 2024, "High Resolution Radar based 3D Estimation of Extended Targets for Automotive Applications", Link
  • Ole Schumann, 2021, "Machine Learning Applied to Radar Data: Classification and Semantic Instance Segmentation of Moving Road Users", Link
     
  • Jakob Lombacher, 2021, "Semantische Umgebungserfassung auf Basis von Radar-Merkmalskarten", Link ​
  • Matthias Rapp, 2019, "Robuste Repräsentation sich zeitlich verändernder Umgebungen mittels Radar", Link 
     

Drittmittelprojekte:
 

  • ​BMBF-Projekt (laufend): "MIKE: Mehr Inklusion durch smarte KI auf Endgeräten"

     
  • EU-Projekt (abgeschlossen), "AdaptIVe ADVANCING AUTOMATED DRIVING", Link: www.adaptive-ip.eu
  • BMWi-Projekt (abgeschlossen), UR:BAN "Urbaner Raum: Benutzergerechte Assistenzsysteme und Netzmanagement"
  • EU-Projekt (abgeschlossen), "interactIVe - accident avoidance by active intervention for Intelligent Vehicles", Link: www.interactive-ip.eu

Eingeladene Vorträge:
 

  • ​M. Hahn, Machine Learning Applied to Radar: Experiences After Labeling Several Million Radar Samples, 2018 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM), Munich, Germany.
  • M. Hahn, Classification and Localisation in Parking Scenarios, AdaptIVe Final Event, June 2017, Aachen, Germany.
  • M. Hahn and U. Kressel, Remarks On Vehicle Automation, November 2016, Hochschule Ulm, Germany.
  • M. Hahn, Radar-Sector-Interface (RSI) a Medium Level Representation for Radar Data, 11th ITS European Congress 2016, June 2016, Glasgow, Scotland.
  • M. Hahn, SLAM technologies for parking applications part II: A showcase AdaptIVe, Workshop AdaptIVe, April 2016, Athens, Greece.
  • M. Hahn and Jürgen Dickmann, Autonomous Maneuvering with Radars, IWPC-Workshop, May 2014, Detroit, USA.
  • M. Hahn, Probabilistic Environment Mapping and Free-Space Estimation Using SRRs Only, European Radar Conference (EuRAD), Oct. 2013, Nuremberg, Germany.​

 

Auszeichnungen:
 

  • ​3rd Price IEEE Radar Conference für die Publikation: A. Laribi, M. Hahn, J. Dickmann, and Christian Waldschmidt, Doppler Beam Sharpening Goes Self Parking, IEEE Radar Conference, 2018.
  • ICMIM 2018 Best Paper Award für die Publikation:A. Laribi, M. Hahn, J. Dickmann, and Christian Waldschmidt, Performance Investigation of Automotive SAR Imaging, International Conference on Microwaves for Intelligent Mobility 2018 (ICMIM 2018), Munich, Germany.
  • ICMIM 2018 Best Poster Award für die Publikation: O. Schumann, M. Hahn, J. Dickmann, and C. Wöhler, Supervised Clustering for Radar Applications: On the Way to Radar Instance Segmentation, International Conference on Microwaves for Intelligent Mobility 2018 (ICMIM 2018), Munich.
  • ITSC 2015 Best Paper Award für die Publikation:M. Rapp, M. Hahn, M. Thom, J. Dickmann, K. Dietmayer, Semi-Markov Process Based Localization using Radar in Dynamic Environments, Intelligent Transportation Systems Conference 2015 (ITSC 2015), Las Palmas, Gran Canaria.
     
  • DAGM-Nachwuchspreis 2007 (3. Preis): Markus Hahn, 3D-Segmentierung und Tracking von Teilen des Körpers einer Person im Produktionsumfeld auf Basis des Contracting-Curve-Density-Algorithmus, Diplomarbeit, TU Ilmenau, 2007.
     

Gutachter für:
 

  • ​IEEE Transactions on Intelligent Vehicles
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Radar Systems