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

Resource type
Conference
Author(s)
Johannes Bach, Jacob Langner, Stefan Otten, Marc Holzäpfel and Eric Sax
Year
2017
Book title
IEEE International Conference on Engineering, Technology and Innovation/ International Technology Management Conference (ICE/ITMC)
Abstract
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.
Research focus
Safe and Intelligent Vehicles
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Published by
Jacob Langner