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ADEX

The Autonomous Driving Examiner (ADEX) project is a joint research project between AVL, AIT and TU Vienna. ADEX aims at developing a trustworthy examiner for controllers of self-driving vehicles. The project will adopt a scenario-based approach, combining techniques from artificial intelligence and traffic accident analysis to generate concrete challenging scenarios. Following a human-centred iterative design approach the developed automated verification and testing methodology will be transparent and provide user understandable. The project results will be evaluated both in virtual (simulation) and physical environments. Project outcomes will help to significantly increase the trust of design engineers and regulatory bodies in autonomous-driving controllers.

Links

AIT: https://adex.ait.ac.at/

FFG Project Description: https://projekte.ffg.at/projekt/3851889

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Repositories

Showing 5 of 5 repositories
  • mats-gym Public

    Multi Agent Traffic Scenario Gym: A scenario-based training and evaluation framework for CARLA.

    AutonomousDrivingExaminer/mats-gym’s past year of commit activity
    Python 30 MIT 8 0 0 Updated Jul 3, 2024
  • scenario_runner Public Forked from carla-simulator/scenario_runner

    Traffic scenario definition and execution engine

    AutonomousDrivingExaminer/scenario_runner’s past year of commit activity
    Python 0 MIT 369 0 0 Updated Feb 28, 2024
  • leaderboard Public Forked from carla-simulator/leaderboard

    CARLA Autonomous Driving leaderboard

    AutonomousDrivingExaminer/leaderboard’s past year of commit activity
    Python 0 MIT 78 0 0 Updated Feb 28, 2024
  • AutonomousDrivingExaminer/leaderboard-cloud’s past year of commit activity
    Shell 0 3 0 0 Updated Feb 22, 2024
  • .github Public
    AutonomousDrivingExaminer/.github’s past year of commit activity
    0 0 0 0 Updated Feb 14, 2023

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