FZD Annual Report of 2024/25

Digitial Annual Report 2024/25

Prof. Dr.-Ing. Steven Peters

Dear Readers, we sum up a challenging year as public funding kept shrinking. But, in these days we experienced the unique “Darmstadt Spirit” at its very best. Truly, all parts, incl. presidium, legal and HR department, student councils and all colleagues across all entities joint forces again and again. Together, we built up strong ideas – combining the megatrends “software-defined vehicles” and “circularity”, ready to be launched whenever money is back.

Picture: Patrick Pintscher

In this context, I like to express our sincere thanks to our industrial partners, who remained on the throttle and even started new projects with us during this “double” crisis.

In the dawn of End2End-Automated Driving we keep on raising our open (research) questions about the safety approval strategy of these well performing huge black boxes. We believe that the safety strategy defines the architecture of the overall stack – especially in End2End systems – and therefore has to be defined first. Safety first means architecture first.

In 2025, we pushed forward new academic partnerships. In research, we started new cooperations across Europe with TU Graz and KTH Stockholm within our alliance Unite!.In addition, we joined forces with Stanford University and published two joint papers on Foundation Models this year. However, we also shut down the last US-focused student program (AESG) due to a lack of interested students.

Once again, it was education which gave me the most purpose and motivation. Roughly 50% of all students choose in their bachelor's degree our lecture “Motor Vehicles” which is not the easiest subject but earns outstanding evaluation results every semester. My colleague Prof. Klaus Hofmann from the Integrated Electronics System Lab and I taught for the very first time our new lecture “Software Defined Vehicles”, which tackles the major challenge of today’s automotive industry. The lecture is designed to be attractive for students of Mechanical Engineering, Electrical Engineering, Mechatronics and Computer Science and was enriched by guest speakers from Silicon Valley, German OEMs and Startups.

With interdisciplinary trained and open-minded experts and leaders, we will continue to support our industry in its transformation to software defined enterprises.

Best regards from Darmstadt

Prof. Dr.-Ing. Steven Peters in September 2025

FZD in Numbers 2024/25
FZD in Numbers 2024/25

FZD would like to welcome:

Can Kemmler

Annan Talukder

as new research associates in our team.

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Research Projects

Public Lectures

Peters, Steven; Kock, Alexander; Weidenkaff, Anke; Schleich, Benjamin
(2025)
Initiative for realization of circular software-defined vehicles.
In: ATZelectronics worldwide, 20, pp. 50-53, Springer, ISSN 1862-1791, e-ISSN 2192-8878, DOI: 10.1007/s38314-025-2048-4, Article

Kuznietsov, Anton; Schweickard, Dirk; Peters, Steven
(2025)
Methodology for an Analysis of Influencing Factors on 3D Object Detection Performance
In: IEEE International Conference on Autonomous and Trusted Computing 2025 doi: t.b.d. Artikel

Calabakan Berk; Kuznietsov, Anton; Peters, Steven
(2025)
Hybrid Sensor Fusion Approach for Robust Perception
In: IEEE International Conference on Autonomous and Trusted Computing 2025
doi: t.b.d. Artikel

Hasenkrug, Jörn ; Peters, Steven
(2025)
Component classification for modularization of passenger vehicles for enabling lifetime extension within a circular economy.
In: Proceedings of the Design Society, 5
doi: 10.1017/pds.2025.10114 Artikel, Bibliographie

Chehoudi, Moatez ; Moisidis, Ioannis ; Sailer, Marc ; Peters, Steven
(2025)
Power hop detection in high-torque vehicles: a machine learning approach with focus on data coverage and model generalization.
2025 Stuttgart International Symposium. Stuttgart (02.07.2025 – 03.07.2025)
doi: 10.4271/2025-01-0271 Konferenzveröffentlichung, Bibliographie

Martinez, Cristian ; Peters, Steven
(2025)
Systematic derivation of requirements for the perception task of free space driving assistance function applied to trucks.
2025 Stuttgart International Symposium on Automotive and Engine Technology. Stuttgart (02.07.2025 – 03.07.2025)
doi: 10.4271/2025-01-0279 Konferenzveröffentlichung, Bibliographie

Dang, Chuong ; Siegle, William ; Gehring, Ottmar ; Peters, Steven
(2025)
Physics-informed loss function for robust electric truck range estimation.
36th IEEE Intelligent Vehicles Symposium (IEEE IV 2025). Cluj-Napoca, Romania (22.06.2025 – 25.06.2025)
doi: 10.1109/IV64158.2025.11097674 Konferenzveröffentlichung, Bibliographie

Bayerlein, Lorenz ; Schulte, Jonas Valentin ; Peters, Steven
(2025)
Potentials of neuromorphic computing for automated driving and future transportation systems.
16. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren. Kloster Irsee, Irsee, Deutschland (31.03.2025 – 02.04.2025)Konferenzveröffentlichung, Bibliographie

Kuznietsov, Anton ; Gyevnar, Balint ; Wang, Cheng ; Peters, Steven ; Albrecht, Stefano V.
(2024)
Explainable AI for safe and trustworthy autonomous driving: a systematic review.
In: IEEE Transactions on Intelligent Transportation Systems, 25 (12)
doi: 10.1109/TITS.2024.3474469 Artikel, Bibliographie

Sun, Bo ; Berghöfer, Moritz ; Bilgic Istoc, Sami ; Kemper, Henning
(2024)
Automatisiertes Valet-Parking – Simulationsbasierte Fahrschlauchabsicherung eines Trajektorienplaners.
In: ATZ – Automobiltechnische Zeitschrift, 126
doi: 10.1007/s35148-024-2124-8 Artikel, Bibliographie