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Discovering unknown-unsafe scenario
For the introduction of ADAS and autonomous vehicles, the SOTIF standard brings a shift in the safety case. It forces suppliers to have methods in place to reduce the number of unknown-unsafe scenarios by applying sufficient exploration and testing.
The challenge is to have an objective, robust and scalable process to generate as many of these scenarios as possible, taking into account the variability of static and dynamic components. Simply put: the more scenarios that can be evaluated up front, the safer the system becomes.
To help OEMs and AV suppliers, Siemens has developed the Critical Scenario Creation proprietary methodology. It systematically and automatically generates a pool of scenarios for a specific operational domain based on a map of the scene and recorded data. Critical Scenario Creation gives an objective indication of the severity of the risk with a severity indicator, which combines a KPI for criticality with a proprietary KPI for novelty. This normalized severity value essentially provides an objective indication of exactly how unsafe and unknown a scenario is.
The tool can also be used by cities and traffic planners to identify problem areas and consequently design and implement infrastructure that minimizes risk and maximizes safe operations.