Test Scenario Selection for System-Level Verification and Validation of Geolocation-Dependent Automotive Control Systems

Resource type
Johannes Bach, Jacob Langner, Stefan Otten, Marc Holzäpfel, Eric Sax
Book title
IEEE International Conference on Engineering, Technology and Innovation/ International Technology Management Conference (ICE/ITMC)
Enhanced capabilities of sensors and digital maps for intelligent vehicles lead to a complex and multivariant system environment with a broad variety of situations and traffic scenarios. To assure the feature under development's valid behavior, the sample of scenarios evaluated for Verification & Validation (VV) needs to proof substantial coverage of all possible situations. Currently applied (VV) activities on system-level are in a large part based on real world tests. These are not scalable to sufficiently cover the variant system environment. Our previously introduced Reactive-Replay enables substantial coverage by reuse of recorded real world data in closed-loop simulation. In this contribution we present an approach to determine the relevance of recorded scenarios and derive efficient sets of test scenarios. Our two-step approach starts with a specification-based classification-tree for initial scenario selection. A data-driven reduction of the initial scenario set is achieved by the following analysis of covered parameter spaces. The final consolidated test set avoids repetitive situations while ensuring a significant diversity of the sampled system environment.
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Published by
Stefan Otten