Autonomous driving demands rigorous, evidence-based safety assurance, especially as programs advance from R&D into real-world deployment. An autonomous vehicle safety case is a set of arguments, claims and evidence that proves the AV system is devoid of unreasonable risks across its lifecycle. Plus has developed a metrics framework to define, track and manage key performance indicators at both system and sub-system levels. This framework enables the company to generate objective and auditable evidence to support core safety claims, strengthening confidence in the Level 4 system’s safety and readiness for scalable deployment.

• A safety case needs to have objective performance metrics that act as the evidence to prove the validity of the claims and arguments
• A well-defined metrics framework is necessary for enabling the organization to define, develop and track performance metrics at various levels
• Plus’s extensive metrics framework that enables the measurement of performance across the AV ecosystem