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April 14 – 16, 2026 | Frankfurt/Hanau, Germany
Auto[nom]Mobil
April 15 – 16, 2026
Here you can see a preliminary overview of the Auto[nom]Mobil 2026 program. Further presentations and the schedule will be available here shortly.
Wednesday, April 15, 2026
Homologation and Compliance // Legal
SYNERGIES: A European Scenario Dataspace for Safety Validation of CCAM Systems
Introducing the SYNERGIES Scenario Dataspace: a federated, interoperable European repository enabling access to real and synthetic driving scenarios for CCAM development, testing, and validation.
From European datasets to harmonized metadata: how SYNERGIES ensures semantic, pragmatic, and technical interoperability across diverse scenario sources and tools.
Integration of scenario generation, qualification, and governance: presenting a unified framework linking physical testing, simulation, AI-based scenario creation, and safety assurance needs.
Synergies with ongoing International Initiatives and alignment with the European strategy for data spaces and CCAM safety validation.
Expected impact for industry and regulators: enabling scalable scenario-based validation across OEMs, suppliers, technical services, and research organizations.
European SCART-Institute: Scenario-based Type Approval Processes in Europe – Current Status and Outlook
Commercial road autonomy has gained significant momentum both in terms of geographic footprint and number of trips. How will this evolve?
Safety performance, as reported by operators, is promising. What are key approaches?
For robotaxis, Waymo is the dominant player, while several other companies have also transitioned to commercial operations. Which companies can provide significant competition?
Autonomous trucking is seeing extensive development, testing, and deployment across private grounds, streets, and highways. 2025 saw the advent of driverless highway trucking but only at a small scale; 2026 will see a spike in driverless operations.
The role of OEMs is quite strong for trucking, whereas passcar OEMs are in the background for robotaxis.