Autonomous Vehicle Safety and Risk Assessment

• Knowledge of automotive safety standards
• Understanding of autonomous vehicle technologies
• Experience in safety analysis and risk management

Audience

• Safety engineers working on autonomous vehicle projects
• Automotive safety professionals responsible for risk assessment
• R&D specialists focusing on safety compliance and validation

Autonomous Vehicle Safety and Risk Assessment is a specialized course focusing on how to analyze, evaluate, and mitigate risks in autonomous vehicle systems.

This instructor-led, live training (online or onsite) is aimed at advanced-level safety engineers and automotive safety professionals who wish to develop comprehensive safety strategies for autonomous vehicles, including hazard analysis, functional safety assessments, and compliance with international standards.

By the end of this training, participants will be able to:

• Identify and assess safety risks associated with autonomous driving systems.
• Conduct hazard analysis and risk assessment using industry standards.
• Implement safety validation and verification methods for AV systems.
• Apply functional safety standards, such as ISO 26262 and SOTIF.
• Develop risk mitigation strategies for AV safety challenges.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Autonomous Vehicle Safety

• Safety challenges in autonomous vehicle development
• Critical safety functions and failure modes
• Overview of functional safety standards (ISO 26262, SOTIF)

Safety Risk Assessment for Autonomous Vehicles

• Principles of risk assessment and hazard analysis
• Identifying critical failure points in AV systems
• Risk management frameworks and methodologies

Functional Safety Standards and Compliance

• ISO 26262: Functional Safety for Road Vehicles
• SOTIF (Safety of the Intended Functionality)
• ADAS safety considerations and compliance

Hazard Analysis and Risk Assessment (HARA)

• Performing HARA for autonomous driving functions
• Identifying potential hazards and accident scenarios
• Quantitative and qualitative risk analysis techniques

Safety Validation and Verification

• Testing safety-critical AV functions
• Simulation-based safety verification techniques
• Real-world safety validation using test vehicles

Advanced Risk Mitigation Strategies

• Redundancy and fail-safe mechanisms
• Safety monitoring and diagnostic systems
• Implementing fallback strategies and safe state transitions

Cybersecurity Considerations for AV Safety

• Integrating safety and cybersecurity strategies
• Detecting and mitigating cyber threats to AV systems
• Ensuring data integrity and secure communication

Case Studies and Best Practices

• Analysis of AV safety incidents and lessons learned
• Successful safety implementations in autonomous prototypes
• Workshop: Conducting a safety risk assessment for an AV scenario

Summary and Next Steps