The Open Autonomy Safety Case Framework (OASCF) provides a roadmap for deploying safe and responsible autonomous vehicles by establishing a structured safety argument backed by rigorous engineering processes, continuous monitoring, and a transparent safety culture.
Perception Simplex (PS) is a fault-tolerant application architecture designed to provide deterministic collision avoidance in autonomous vehicles by leveraging verifiable obstacle detection algorithms to detect and mitigate faults in unverifiable deep learning-based perception systems.