Abstract
Autonomous Driving Systems (ADS) are safety-critical Cyber-Physical Systems that require thorough validation. Currently, scenario-based testing in simulations is the cornerstone of ADS validation, complementing expensive and dangerous natural field operational testing. Scenario-based testing in simulation can systematically assess ADS in diverse, relevant, and critical driving situations. However, it requires sophisticated tools and rich content to let developers quickly generate the intended testing scenarios. This hands-on training illustrates how to use the BeamNG.tech framework for effective scenario-based testing, focusing on manual scenario generation, which is often neglected in research despite its central role in practice. Learning material and additional descriptions are available at: https://github.com/BeamNG/scenario-based-testing-tutorial.
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CITATION STYLE
Papamichail, C., Stark, D., & Gambi, A. (2025). Scenario-Based Testing with BeamNG.tech (Hands-On Training). In 2025 IEEE Conference on Software Testing, Verification and Validation, ICST 2025 (pp. 767–768). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICST62969.2025.10989037
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