The excitement is already building ahead of this year’s Autonomous Vehicle Tech Expo Europe, which returns to Stuttgart, Germany, on June 23-25, 2026. The event will bring together a free-to-attend exhibition, featuring the latest in autonomous and ADAS technologies, development tools and next-gen mobility solutions, and a dedicated conference (rates apply) featuring expert insights from the most innovative projects, deployments and development programs.
Delegate registration for Autonomous Vehicle Tech Expo 2026 is now open, with the following conference speakers and presentations among the first to be confirmed:
Huan Zhao Ternehäll, ADAS solution architect, Geely Technology Europe
ADAS in the SDV era – opportunities, limits and safety challenges: The shift toward SDVs promises unprecedented flexibility, scalability and continuous feature evolution across the automotive lifecycle. However, for ADAS this transition exposes a unique set of technical and safety challenges. While SDV architectures aim to abstract hardware through centralized compute, virtualization and middleware, ADAS perception pipelines remain tightly coupled to sensor physics, accelerator‑specific optimizations and deterministic real‑time constraints. Ternehäll’s presentation will highlight the key challenges in deploying portable, updatable ADAS across heterogeneous hardware. It will review the practical limitations OEMs and suppliers face, examine the safety implications under evolving regulations, and outline the technical advances needed to enable safe and scalable ADAS.
An ADAS solution architect at Geely Technology Europe (previously Zeekr Technology Europe), Ternehäll has worked as an expert ADAS system leader at Volvo Group Trucks Technology before joining Geely. She holds a docent degree in semiconductor device physics and PhD in microelectronics from Chalmers University of Technology.
Andreas Ebert, project manager, Volkswagen
Generation and validation of synthetic training data for automotive AI: This joint presentation by Volkswagen Group and Keysight Technologies will outline an approach for generative AI-based creation and validation of synthetic training data for automotive AI systems. It will demonstrate how AI generation workflows improve real-world performance, and why rigorous validation is essential: generated data must match domain semantics and characteristics before being used in training. Volkswagen will share how it uses Keysight’s AI Software Integrity Builder to analyze datasets and model behavior to assess data quality, compare distributions, reveal discrepancies and guide metric-based optimization in a closed loop. Delegates will learn how this approach enables shifting training data collection from road to AI.
Ebert is a project manager in group innovation at Volkswagen, applying generative AI to create test and training data. He studied computer science at the Technical University of Magdeburg.
Marta Glinka, psychophysiologist, Harman
Driver distraction and readiness across levels of automation: This presentation will examine how driver readiness requirements differ across vehicle automation levels. While automation improves safety, sustaining driver alertness remains a challenge, as drivers remain vulnerable to both external distractions and internal cues. In ADAS (L1-L2), vehicle control taxes limited cognitive resources, and secondary tasks increase the risks of overload, stress and fatigue. At higher automation (L2+-L4), reduced control demands free cognitive capacity but introduces underload effects such as mind wandering and drowsiness. Reliable, automation-level-appropriate assessment of driver readiness is therefore critical. This presentation will share a range of practical methods for detecting visual, manual and cognitive distraction, as well as drowsiness and stress.
Glinka holds a PhD in psychology with a strong background in psychophysiology and neurocognition. Her work centers on understanding and assessing human cognitive performance under varying operational conditions, supporting the design of safer, more effective human-machine systems.
Attended by OEMs, Tier 1 and Tier 2 suppliers, technology and platform companies, and testing and research organizations, the conference offers multiple networking opportunities. Register now (rates apply) to secure an early bird discount.
FOUR CRITICAL PILLARS
Software, AI and SDV Architecture
Vehicle architectures are shifting rapidly toward compute-heavy SDV platforms. OEMs need clarity on AI safety, data pipelines, integration challenges and cybersecurity.Safe Autonomous Deployment
OEMs are under pressure to mature supervised and unsupervised autonomy programs.
The industry needs real-world insights on scaling pilots, safety metrics and public trust.Simulation, Scenarios and Virtual Validation
Validation is the bottleneck for autonomy. Scalable simulation, scenario automation, digital twins and linkages to proving-ground testing are essential.Regulation, Standards and Collaboration
UNECE, ISO and global regulatory changes are accelerating. OEMs can benefit greatly from alignment, shared assets and system-level interoperability.
