Safety.AD USA

Safety.AD USA examines the critical aspects of functional, operational, and system safety for the advancement of highly to fully automated vehicles.

Key Topics

• Safe Artificial Intelligence: Ensuring safety in deep learning-based systems, including DNNs
• Software Architectures & Safety-Critical Functions: Addressing functional and systematic failures at the software level
• Cybersecurity & Connectivity: Integrated safety and security testing of V2V and V2X
• Safety-Critical Systems: Transition from fail-safe to fail-operational systems
• HARA: Development of a unified approach for hazard, risk, and undesired event analysis
• Vehicle Motion Control: Achieving fail-operational control in diverse environments
• Perception: Utilizing sensor simulation for virtual test drives and developing a common framework
• E/E System Concepts: Conversion of traditional vehicles to fail-operational vehicles through redesign
• Semiconductors: Current challenges and opportunities for safety-critical automotive systems
• Cooperative Automated Systems: Using risk-oriented runtime reconfiguration to enhance resilience of connected AVs

Who should Attend

• Automotive safety engineers
• Autonomous vehicle developers
• Software engineers for safety-critical systems
• Cybersecurity experts in the automotive industry
• Systems engineers specializing in automated driving