Collision avoidance systems are fundamental for autonomous driving and need to be tested thoroughly to check whether they safely handle critical scenarios. Testing collision avoidance systems is generally done by means of scenario-based testing using simulators and comes with the main challenge of generating situations that are realistic but avoidable. In other words, driving scenarios must stress the collision avoidance functionalities while being representative. Existing crash databases and accident reports describe observed accidents and enable to (re)create realistic collisions in simulations; however, as those data sources focus on the impact, their data do not generally lead to avoidable collision scenarios. To address this issue, we propose STRETCH, which generates realistic, critical, and avoidable collision scenarios by extending focused collision descriptions using a multi-objective optimization algorithm. Thanks to STRETCH, developers and testers can automatically generate challenging test cases based on realistic crash scenarios.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    STRETCH: Generating Challenging Scenarios for Testing Collision Avoidance Systems


    Contributors:


    Publication date :

    2023-06-04


    Size :

    2814985 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Collaborative Collision Avoidance for CAVs in Unpredictable Scenarios

    Patel, Dhruvkumar / Zalila-Wenkstern, Rym | IEEE | 2020


    PEDESTRIAN COLLISION AVOIDANCE SYSTEM FOR SCENARIOS WITH OCCLUSIONS

    Schraner, Markus / Bouton, Maxime / Kochenderfer, Mykel J. et al. | British Library Conference Proceedings | 2019



    Pedestrian Collision Avoidance System for Scenarios with Occlusions

    Schraner, Markus / Bouton, Maxime / Kochenderfer, Mykel J. et al. | IEEE | 2019


    Systems and methods for testing collision avoidance systems

    RESCHKA ANDREAS CHRISTIAN / MACGREGOR COLLIN | European Patent Office | 2023

    Free access