This article deals with the creation and concretization of a scenario catalogue in the context of scenario-based validation of highly automated driving functions. Due to the possible combinatorics of the various driving situations and influencing parameters in the open-world context, it is not possible to simply execute all possible combinations. Instead, new methods are needed that can make a representative statement about the respective scenario, but at the same time attempt to reduce the degree of execution. To this end, a methodology for risk assessment and criticality analysis is to be developed as part of this work. This approach uses analogies to existing methodologies (e.g. ASIL) and transfers them to the scenario-based context. To this end, existing public data sets containing top-view camera recordings of real traffic scenarios were analysed and evaluated with regard to previously defined, scenario-specific parameters. Based on this, the methodology for the evaluation, risk assessment and prioritization of the specific scenarios in the context under consideration will be designed. Finally, the results will be categorized in the existing development cycle of scenario-based testing, implemented and evaluated and validated with the real system for an exemplary scenario.
Session:
Poster
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