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No, Title
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SCD 1.1: Lessons-learned based (critical scenario) update of ADAS/AD Controller
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Leader
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AVL
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Contributing Partners
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AIT, TUGRAZ
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Description
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With an emphasis on safe and trustworthy ADAS/AD systems, demonstrator SCD1.1 prioritizes intelligent data collection, virtualization, training, and analysis. Key strategies include detecting valuable situations for testing and validating new driving functions, collecting data and converting it into virtual driving scenarios, and utilizing an AI training center for safety-critical scenarios. Additionally, validation of ADAS/AD functions is conducted safely through a passive testing approach, significantly reducing the need for extensive road testing by leveraging virtualization and enhancement methods.
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Deployment/utilization
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By designing the demonstrator to ensure all developed components operate both within a complete toolchain and as standalone tools, a wide range of deployment and utilization possibilities emerge. This flexible approach enables seamless integration and versatile application across various use cases. For instance, it allows for the reduction of data collection by focusing and identifying interesting situations, the enhancement and manipulation of scenarios in a virtual environment to create more critical and diverse driving situations, and the safe evaluation of ADAS/AD functions in a virtual environment to identify potential misbehaviors and faults for further investigations.
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Pictures/visuals with titles
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Figure 1: High-level system level design of demonstrator SCD1.1.
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