This framework merges fail-safe mechanisms and digital twin simulation for improving safety in autonomous vehicles, suggesting better compliance with existing standards.
Key Points
Digital twin simulation confirmed significant improvements in fault detection and system resilience, enhancing autonomous vehicle safety.
The integration of sensor fusion and AI-driven perception addresses safety challenges in high-risk off-highway environments.
Fail-safe mechanisms ensure safe state transitions during critical failures, improving operational reliability of autonomous vehicles.
The hybrid framework aligns with key ISO standards and emerging cybersecurity regulations to safeguard autonomous vehicle operations.