PhD Candidate in Engineering Science

SYSCOP Laboratory

University of Freiburg


Rudolf Reiter graduated 2016 with a Master’s degree in electrical engineering with a focus on control systems from the Graz University of Technology in Austria. During that time he did internships at Bernecker & Rainer (ABB) and an exchange semester at the University of Utah, USA. Afterwards, he joined an international company for measurement devices (Anton Paar GmbH) where he worked as a specialist for control systems and signal processing. In 2018 he started working as a researcher for autonomous driving at a vehicle research company. There he also joined the Autonomous Racing Graz team, which competes at real-world autonomous racing events.

Project description

Rudolf Reiter is actively engaged in cutting-edge research in the field of autonomous driving and autonomous racing as part of his pursuit of a Ph.D. His work primarily focuses on several key areas, including model predictive control, mixed integer optimization, optimal control, and reinforcement learning. By combining expertise in these domains, he aims to develop innovative solutions that can enhance the performance and safety of autonomous vehicles, especially in strategic racing scenarios and combinatorial sophisticated multi-lane traffic. His research promises to contribute significantly to the advancement of autonomous systems, making them more efficient and capable in navigating complex environments while pushing the boundaries of autonomous racing technology.



Reiter, Rudolf; Nurkanovic, Armin; Frey, Jonathan; Diehl, Moritz

Frenet-Cartesian model representations for automotive obstacle avoidance within nonlinear MPC Journal Article

In: European Journal of Control, vol. 74, pp. 100847, 2023, ISSN: 0947-3580, (2023 European Control Conference Special Issue).

Abstract | Links | BibTeX


Mamedov, Shamil; Reiter, Rudolf; Azad, Seyed Mahdi Basiri; Boedecker, Joschka; Diehl, Moritz; Swevers, Jan

Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots Working paper

2023, (Submitted to ICRA 2024).

Abstract | Links | BibTeX


Reiter, Rudolf; Hoffman, Jasper; Boedecker, Joschka; Diehl, Moritz

A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing Proceedings Article

In: 2023 European Control Conference (ECC), pp. 1-8, IEEE, Bucharest, Romania, 2023, ISBN: 978-3-907144-08-4.

Abstract | Links | BibTeX


Baumgärtner, Katrin; Reiter, Rudolf; Diehl, Moritz

Moving Horizon Estimation with Adaptive Regularization for Ill-Posed State and Parameter Estimation Problems Proceedings Article

In: 2022 IEEE 61st Conference on Decision and Control (CDC), pp. 2165-2171, IEEE, Cancun, Mexico, 2023, ISBN: 978-1-6654-6761-2.

Abstract | Links | BibTeX


Reiter, Rudolf; Messerer, Florian; Schratter, Markus; Watzenig, Daniel; Diehl, Moritz

An Inverse Optimal Control Approach for Trajectory Prediction of Autonomous Race Cars Proceedings Article

In: 2022 European Control Conference (ECC), pp. 146–153, IEEE, London, United Kingdom, 2022, ISBN: 978-3-907144-07-7.

Abstract | Links | BibTeX