The article substantiates the need to use virtual test methods to assess and ensure the safety and reliability of the highly automated and unmanned vehicles operation at the development stage and during operation. The software tools for generating scenarios for conducting virtual vehicle tests are described. The developed methodology for generating scenarios and conducting continuous virtual tests using Siemens Prescan and Matlab tools is presented. A technique for correcting the permissible areas of safe operation by integrating the developed scenarios into the HEEDS software environment is described. The results of virtual tests for one complex road scene are presented and a safe range of operating speeds for the considered driving conditions of the tested vehicle is determined. A successfully tested in practice scientific and methodological apparatus for verifying the parameters of vehicles' mathematical models during operation is presented.


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    Title :

    Methods of Parameter Verification and Scenario Generation During Virtual Testing of Highly Automated and Autonomous Vehicles


    Contributors:


    Publication date :

    2022-11-10


    Size :

    1780441 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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