“Safety First for Automated Driving” (SaFAD).

In dem industrieübergreifenden Whitepaper „Safety First for Automated Driving“ hat Mercedes-Benz gemeinsam mit Aptiv, Audi, Baidu, BMW, Continental, Fiat Chrysler Automobiles, HERE, Infineon, Intel und Volkswagen das Thema Sicherheit beleuchtet. Die Publikation fasst alle relevanten Sicherheitsmethoden für das automatisierte Fahren nach SAE Level 3 und Level 4 zusammen und führt eine Methode der Nachvollziehbarkeit ein. Diese erstreckt sich vom TOP Ziel - sicherer als der durchschnittliche Fahrer - bis zu den einzelnen Sicherheitszielen der jeweiligen Komponenten.

Die Grundlage des Whitepapers “Safety First for Automated Driving” sind 12 Leitprinzipien (nur auf Englisch):

• Safe Operation: How the system reacts if critical components become unstable or cease functioning
• Safety Layer: The system recognizing its limits and minimizes risk in returning control to the driver
• Operational Design Domain (ODD): The operating conditions in which the system is designed to function
• Behavior in Traffic: The system behavior needs to be easy to understand and predictable for surrounding road users
• User Responsibility: The user’s state must be suitable for a takeover procedure
• Vehicle-Initiated Handover: If the driver does not comply with a takeover request, the automated driving system must perform a maneuver to minimize risk.
• Driver-Initiated Handover: Activating and deactivating the automated driving system shall require an explicit driver’s intent
• Effects of Automation: Overall evaluation of system safety shall take automation effects on the driver into account
• Safety Assessment: Verification and validation shall be used to ensure that the safety goals are met
• Data Recording: When an event or incident is recognized, automated vehicles shall record relevant data in a manner that complies with applicable privacy laws
• Security: Steps shall be taken to protect the automated driving system from security threats
• Passive Safety: Vehicle layout shall accommodate changes to crash scenarios brought about by vehicle automation