Technical University of Munich

The Technical University of Munich (TUM) is the second largest technical university in Germany with over 48,000 students and 11,000 employees. It is one of the three top excellence universities in Germany and is considered one of the best universities in Europe due to its outstanding achievements in research and teaching. In the Department of Informatics, the Chair of Robotics, Artificial Intelligence, and Real-time Systems in Garching focuses on researching artificial intelligence and autonomous systems, among others, in research projects such as the Human Brain Project, ECHORD++, and Providentia++. Some of the relevant previous works include:

  • Annkathrin Krämmer, Christoph Schöller, Dhiraj Gulati, Venkatnarayanan Lakshminarasimhan, Franz Kurz, Dominik Rosenbaum, Claus Lenz, and Alois Knoll, “Providentia – A Large-Scale Sensor System for the Assistance of Autonomous Vehicles and Its Evaluation”, Journal of Field Robotics Jan. 2021
  • Christoph Schöller, Vincent Aravantinos, Florian Lay, and Alois Knoll, “What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction”, Robotics and Automation Letters (RA-L), Paris, France, IEEE, Jan.2020
  • Gereon Hinz, Martin Buechel, Frederik Diehl, Guang Chen, Annkathrin Kraemmer, Juri Kuhn, Venkatnarayanan Lakshminarasimhan, Malte Schellmann, Uwe Baumgarten, and Alois Knoll, “Designing a far-reaching view for highway traffic scenarios with 5G-based intelligent infrastructure”, 8th Conference on Driver Assistance Systems 2017
  • Javier López-Randulfe, Tobias Duswald, Zhenshan Bing, and Alois Knoll, “Spiking Neural Network for Fourier Transform and Object Detection for Automotive Radar”, Frontiers in Neurorobotics 15, 2021
  • Venkatnarayanan Lakshminarasimhan and Alois Knoll, “C-V2X Resource Deployment Architecture Based on Moving Network Convoys”, IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, 2020
  • Christoph Schöller and Alois Knoll, “FloMo: Tractable Motion Prediction with Normalizing Flows”, International Conference on Intelligent Robots and Systems (IROS) 2021
  • Annkathrin Krämmer, Christoph Schöller, Franz Kurz, Dominik Rosenbaum, and Alois Knoll, “Proactive Perception for Safe Automated Driving: Validation of Intelligent Infrastructure Systems using the Example of Providentia”, International Transport Journal, Feb. 2020

Role in the project

  • Operation of the test field infrastructure
  • Algorithms for creating precise digital twins (Groundtruth)

Scientists/employees involved

Prof. Dr.Alois Knoll

Marie-Luise Neitz

Venkat Lakshmi

Leah Strand
Mingyu Liu

Sıla Salta