Post-Hoc Scenario-Based Testing of Automated Driving Systems: Classification of Driving Scenarios and Checking of Functional Requirements in Recorded Data
We present a post-hoc approach for scenario-based testing of automated driving systems, enabling the analysis of safety and correctness for (cooperative) automated driving systems in many scenarios without conducting tests for individual scenarios. The system under test is operated in its physical environment’ and data is recorded during operation. Then, driving scenarios are identified in this data and functional requirements are checked, yielding pass or fail verdicts for individual scenarios. We validate the envisioned post-hoc approach in a single-case mechanism experiment by the example of a platooning controller, identifying a previously unknown bug in the tested system, as well as a functional insufficiency concerning the intended operational design domain.
- Published in:
2025 {IEEE} Intelligent Vehicles Symposium ({IV}) - Type:
Inproceedings - Authors:
- Year:
2025 - Source:
https://ieeexplore.ieee.org/abstract/document/11097740/
Citation information
: Post-Hoc Scenario-Based Testing of Automated Driving Systems: Classification of Driving Scenarios and Checking of Functional Requirements in Recorded Data, 2025 {IEEE} Intelligent Vehicles Symposium ({IV}), 2025, 1523--1530, {IEEE}, https://ieeexplore.ieee.org/abstract/document/11097740/, Schallau.etal.2025a,
@Inproceedings{Schallau.etal.2025a,
author={Schallau, Till; Schmid, Dominik; Pawlinorz, Nick; Teper, Harun; Naujokat, Stefan; Chen, Jian-Jia; Howar, Falk},
title={Post-Hoc Scenario-Based Testing of Automated Driving Systems: Classification of Driving Scenarios and Checking of Functional Requirements in Recorded Data},
booktitle={2025 {IEEE} Intelligent Vehicles Symposium ({IV})},
pages={1523--1530},
publisher={{IEEE}},
url={https://ieeexplore.ieee.org/abstract/document/11097740/},
year={2025},
abstract={We present a post-hoc approach for scenario-based testing of automated driving systems, enabling the analysis of safety and correctness for (cooperative) automated driving systems in many scenarios without conducting tests for individual scenarios. The system under test is operated in its physical environment’ and data is recorded during operation. Then, driving scenarios are identified in this...}}