The global flagship projects for automated driving safety assurance currently focus on getting scenario-based pre-deployment validation approaches realized. However, the residual uncertainties due to the lack of experience with technologies like machine learning and assurance methods result in performance loss. This presentation will provide insights into three major remaining challenges, which prevent safe and performant ADS: Adequate operational environment specification and analysis, design assumption validity and dealing with safety-relevant changes and events during operation. A roadmap will be presented identifying the building blocks of next generation safety architectures and assurance methods, which balance safety needs and customer value.
- Understand the critical importance of specifying and analyzing the operational environment for ADS in the right level of detail
- Learn about the necessity of validating design assumptions to ensure they remain valid throughout the ADS lifecycle
- Gain insights into the challenges of tomorrow and identify evolution needs for your next-generation safety architectures and assurance methods
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