The mixed operation between motorized and non-motorized, as well as (partially) autonomous and non-autonomous traffic participants represents a major challenge for a reliable operation of automated and autonomous vehicles. How do road users behave towards autonomous vehicles and which environmental elements (static and dynamic) are relevant for the automated vehicle to interpret the current situation? How can the highest level of road safety be guaranteed? These and other questions cannot be verified and validated by real-world test drives alone, but instead must be answered extensively with the help of simulations.

    This publication outlines the state-of-the-art of the virtual validation of automated driving functions placing a focus on environment modelling, scenario generation, as well as traffic and driving simulations in urban contexts. The creation of a photorealistic 3D representation of a district in the city of Ingolstadt using high-precision laser scanners and OpenDRIVE maps is described. Furthermore, the generation of test scenarios using the open standard OpenSCENARIO and coupling of the traffic simulator SUMO with the microscopic and submicroscopic vehicle and environment simulation in Tronis® is presented.


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    Titel :

    Virtual Validation of Autonomous Driving Functions in Urban Areas with Mixed Traffic


    Weitere Titelangaben:

    Proceedings


    Beteiligte:
    Bargende, Michael (Herausgeber:in) / Reuss, Hans-Christian (Herausgeber:in) / Wagner, Andreas (Herausgeber:in) / Schreiner, K. (Autor:in) / Handel, Caroline (Autor:in) / Obstbaum, M. (Autor:in) / Beutenmüller, F. (Autor:in) / Morich, L. (Autor:in) / Langer, M. (Autor:in) / Harth, M. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2021-05-06


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Deutsch




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