Auto[nom]Mobil

Welcome Talk

Highlight Market

Automated Driving - Why, How and When?

• Use cases in trucking and public transportation
• Further research
• Technological sovereignty

Keynote

What Is Happening Out There? – ADAS Market, Technology and Product

• Global overview of the rapidly evolving Advanced Driver Assistance Systems (ADAS) landscape
• Key features, innovative products, and emerging technologies
• Market trends, consumer preferences, and regulatory influences
• Insights into the current state and future trajectory of automotive safety and automation

Highlight Homologation and Compliance

Life Cycle Compliance of AV

• Overcoming Regulatory Fragmentation: challenges posed by diverse regional regulatory systems that affect automated driving system safety
• Managing software updates for approved vehicles
• Enhancement of road safety by lifecycle safety of automated vehicles
• Recommendations for regulatory clarifications

Environmental Perception

Future Sensing with Sensor Fusion

• Sensor challenges including upcoming R&R
• Active Safety Sensor overview & Performance
• How Early Fusion improves the overall performance

Unlocking Collective Awareness for ADAS

• V2X as a sensor: Enhancing perception beyond existing sensor limitations, and supporting real-time decision-making
• Challenges of trustworthiness and V2X technology fragmentation
• Integration considerations for Connected ADAS
• Opportunities for scalable, adaptive architectures to support safety relevant applications

System Stacks

From Deep Fusion of Radar and Video Perception to E2E Automated Driving

• Modular E2E trained ADAS stack
• AI based early fusion/prediction/planning
• Temporal modelling

Mixed Reality as a Next Generation Development Tool

• Description Mixed Reality as a development and validation method
• Pros and cons of the method
• BMW concept of a mixed reality vehicle
• Prospect of next steps and further research

Podium Discussion

Visit of "Klassikstadt"

Conference Dinner

Statistical Validation of the BMW Personal Pilot L3

• Comprehensive safety framework that guided the development and regulatory approval of BMW's first SAE Level 3 Automated Driving System
• Integration of Systems Engineering, Risk Analysis, and advanced methods from Statistical Learning
• Systematic identification and quantification of uncertainties in hazard scenarios, ensuring a Positive Risk Balance
• Alignment with automotive standards, providing a rigorous and transparent safety assurance process for Automated Driving Systems

Continuous XiL Test Pipeline for the Validation of ADAS Software Updates

• Overview of various real and virtual test environments for ADAS
• The challenge of simulating a complete sensor set
• Generating and feeding synthetic sensor and bus data in real time
• Advantages of using continuous XiL simulation in practice

Test and Validation II

Validation of Level 3 and 4 Functions: Challenges and Possible Solutions

• What are the biggest challenges in validating automated driving functions
• What data volume and test depth do we need?
• What methods and disciplines do we need to solve the validation problem?

AI-Powered Auditing: Scaling Model and Data Validation with Intelligent Agents

• Challenges in validating data and AI models
• Multi-modal LLMs for automated auditing
• Capabilities, Limitations & Key tools

5 Years on the Road  -  Lessons Learned from Testing AD Systems

• Public road AD testing history- a recap
• Lessons learned from a multi project testing campaign of public road AD testing
• A non-OEM perspective on the challenges of approval for testing
• The importance of safety drivers
• Outlook and today’s boundary conditions

Highlight EU Perspective

How AI Influences the Validation and Homologation of ADAS and AF from the Perspective of International Standardisation

From Development to Production: How to ensure compliance and type approval of an autonomous eco-system

• Vision of autonomous on-demand mobility services
• Digitisation of the human driver
• Regulatory hurdles and challenges
• Way forward