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Scenario-Based Testing with BeamNG.tech (Hands-On Training)

  • Chrysanthi Papamichail (Author and Speaker)
  • , David Stark
  • , Alessio Gambi (Author and Speaker)
    • BeamNG GmbH

    Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

    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.
    Original languageEnglish
    Title of host publication2025 IEEE Conference on Software Testing, Verification and Validation, ICST 2025
    EditorsAR Fasolino, S Panichella, A Aleti, A Mesbah
    Pages767-768
    Number of pages2
    ISBN (Electronic)979-8-3315-0814-2
    DOIs
    Publication statusPublished - 31 Mar 2025
    Event2025 IEEE Conference on Software Testing, Verification and Validation (ICST) - Napoli, Napoli, Italy
    Duration: 31 Mar 20254 Apr 2025

    Publication series

    Name2025 IEEE Conference on Software Testing, Verification and Validation, ICST 2025

    Conference

    Conference2025 IEEE Conference on Software Testing, Verification and Validation (ICST)
    Country/TerritoryItaly
    CityNapoli
    Period31/03/254/04/25

    Research Field

    • Dependable Systems Engineering

    Keywords

    • Autonomous driving
    • procedural content generation
    • scenario-based testing

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