An Integrated Approach to a Safety Argumentation for AI-Based Perception Functions in Automated Driving

An Integrated Approach to a Safety Argumentation for AI-Based Perception Functions in Automated Driving

연구 분야: Verification

학회: International Conference on Computer Safety, Reliability, and Security

Developing a stringent safety argumentation for AI-based perception functions requires a complete methodology to systematically organize the complex interplay between specifications, data and training of AI-functions, safety measures and metrics, risk analysis, safety goals and safety requirements. The paper presents the overall approach of the German research project “KI-Absicherung” for developing a stringent safety-argumentation for AI-based perception functions. It is a risk-based approach in which an assurance case is constructed by an evidence-based safety argumentation.