Auto[nom]Mobil

Homologation and Compliance

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

Who is Liable – Owner Liability vs. Manufacturer Liability

• Status of EU Regulation
• Is the modified EU Product Liability suitable to adequately protect traffic victims?
• The liability risk and recourse risk for all parties involved in the production chain
• Is owner liability the better system?
• What does the ideal liability model look like from Allianz's perspective?

Perception Technology

Interior Sensing AI for in-cabin Safety & Health Monitoring

• New AI‑enhanced functions such as 3D body‑pose detection enabling NCAP‑relevant out‑of‑position assessment (e.g., feet on the dashboard, head near the airbag) through large‑scale auto‑labelling and improved model design
• AI model applied directly to radar spectral data that clearly outperforms classical signal‑processing approaches
• Vital‑sign monitoring with a focus on heart‑rate estimation to detect medical anomalies before driver incapacitation
• Outlook on in‑cabin sensor fusion and the integration of interior and exterior sensing

In-Cabin Sensing Technologies Transforming Safety, Comfort, and Regulatory Compliance In Modern Vehicle

• How is in-cabin sensing expanding safety beyond traditional DMS?​
• What role does sensor fusion play in enhancing inCabin Safety & occupant monitoring​
• In what ways smart sensing systems helping automakers meet evolving safety and regulatory requirements

Context-Aware ADAS: Integrating Interior Sensing Outputs Into ADAS/AD for Safe Driving

• How does knowledge of driver attention and readiness improve ADAS/AD performance​
• How does interior sensing support safe handover strategies in Level 2+/Level 3 vehicles?​
• How can interior sensing enhance regulatory compliance (GSR, NCAP) for driver engagement

Operation of L4

Update on Fleet L4 Operations in the USA: Robotaxis and Trucking

• 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. 

Autonomous Driving - Lost in Technology?

• How to change the mobility system for public transport
• Existing structures vs new ecosystem approach: friend or foe. As AD is arising new players will significantly change the game
• Safe and inclusive transport: Challenges of autonomous driving beyond the AD stack
• Business impact: stop the lock in effect with the Ecosystem 4.0 approach (German governmental supported initiative)

Livings Stacks and Methods

One Decade of BMW Field Operational Test

• Overview of BMWs Field Operational Test (FOT)
• Method comparison for evaluating Human Factors with ADAS
• Results of the latest FOT with the current ADAS Systems in three different countries

MiRoVA – Migration of Road Vehicle Automation From Theory to Application in the Automotive Industry

• Transition from human-driven to highly-automated transport in the long term
• Vehicle cooperation and communication with humans, automation and other road users
• What are effects of human-technology migration of automated traffic systems on the safety and efficiency of road traffic as well as on usability and acceptance?
• Attempts to design migration-capable vehicle automation systems. How can the industry support Human Systems Migration? Is standardization the way to go?

Safe Automated Drving -- A Chinese Perspective

One solution for Safety V&V for Autonomous Driving —SOTIF Index 1.0

AI-SAP - Automobile Intelligent Safety Assessment Programme

• Introduction to China Merchants Vehicle Test & Research Institute Co., Ltd.
• China's Benchmark: "Strong Standards" and Access System for L2/L3-Level Autonomous Driving Tests
• Innovation System: AI-SAP Protocol – A Six-Dimensional Panoramic Intelligent Safety Assessment Protocol
• Practical Equipment: Trinity Safety Assessment Laboratory for Intelligent Vehicles (Vehicle-Environment-Traffic-in-the-Loop)

The Human and Automation

Modeawareness Between L2-Hands-Off and L3 in a Field Operational Test

• What is key for mode awareness in vehicles combining L2 and L3
• Why did we perform a Field Operational Test to evaluate mode awareness?
• What are the results and what did we learn?

Managing Complex ADAS – User Perspectives & Challenges to Proof Regulatory Compliance

• Complexity paradox: Increasing complexity of in-vehicle interactions
• Mode confusion and mode awareness challenges arising from highly capable ADAS
• Smart, adaptive, and learnable systems for all - insights from SALSA
• How to proof regulatory compliance for HMI? Methodological challenges

City, Countryside, Highway—Where Do Assisted Driving Functions Help in Cars?

• Accidents
• Challenges for road safety
• ODD country roads
• Critical driving situations in real traffic
• Driver engagement and test scenarios on the test site

Public Perception of Automated Driving: Results of a European Survey

• Results from a large-scale European survey on automated driving.
• Key findings on public acceptance, trust, and perceived risks of automated driving.
• Attitudinal differences by age, urban vs. rural context, public transport access, and prior experience with (partially) automated systems.
• Psychological factors influencing trust and expectations toward automated vehicles.
• Implications for road safety, regulation, and insurance in Europe.