Categorizing Data-Driven Methods for Test Scenario Generation to Assess Automated Driving Systems
Maximilian Bäumler,
Felix Linke,
Günther Prokop
Abstract:This survey aims to provide an overview of various methods for generating data-driven test scenarios for assessing automated driving systems (ADS). The survey updates the overall process of scenario generation and categorizes the current methods using a systematic literature review of 64 studies identified between 2017 and 01/2023. Overall, we demonstrate that the data-driven scenario generation process should be updated by another process step, scenario fusion, leading to seven process steps: (1) scope defini… Show more
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