Workshop details

Location: Workshop Room III (onsite), The Autonomous Main Event
Date: September 27, 2022
Time: 16:00 – 17:45 CEST


Workshop description

Autonomous, connected, and electric mobility are recognized as the most disruptive trends in the automotive industry. Among all of them, autonomous vehicle technologies are the most heavily researched topics. The automated driving features currently available are only a fraction of what is being developed for the future. It is expected that autonomous, connected, and electric vehicles will provide significant social, industrial, economic, and environmental benefits.

Artificial Intelligence is currently the primary enabler of autonomous mobility. Beyond safety and robustness, the industry has to consider a set of trustworthy requirements regarding security, privacy, and explicability. However, the currently available technology shows a heterogeneous level of maturity concerning those attributes, which implies new research and development challenges in different areas. Also, novel components and systems should be investigated to provide higher performance and efficiency, combining safety and reliability features with mass-production costs to move towards e-Mobility eventually.

The workshop will present the state-of-the-art challenges of these technologies and the R&I programs that the European Commission has set up to tackle those challenges. Furthermore, the industry’s viewpoint will be used to start an open discussion among participants.


The workshop agenda is structured as follows:

  • Introduction and welcome (Andreas Eckel, TTTech)
  • Challenges and Results from selected EU projects:
    • AITHENA (Anna Ryabokon, TTTech; tbc, Vicomtech)
    • AI4CSM (Jochen Koszescha, Infineon Technologies)
    • Sys2Wheel (Bernhard Brandstätter, Virtual Vehicle)

AITHENA will contribute to building Explainable AI (XAI) in the Cooperative, Connected and Automated Mobility (CCAM) development and testing frameworks researching into three main AI pillars: data management, data models, and physical/virtual testing with scalable MLOps. A human-centric methodology proposed will be validated in four use cases including several demonstrators: e.g. “Robust Prediction modules for Robo-taxi in urban environment” or “AI-based Traffic Management” providing a basic for a future cross-domain investigation using this approach.

  • EU R&I on Mobility – the digital perspective including the Chips Act (Max Lemke, DG CONNECT, European Commission)
  • CCAM Partnership (Stephane Dreher, CCAM Coordination Working Group Leader)
  • Open Discussion and Conclusions


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