In order to solve the challenges current in the existing intelligent connected vehicle autonomous driving simulation test, such as the difficulty in reproducing the real road test scene, the low accuracy of traffic participants and vehicle dynamics models, and the difficulty in setting up the test system, a set of intelligent connected vehicle autonomous driving simulation test system was designed based on the ADAS sensor fusion HIL test cabinet and PanoSim simulation software. The overall design scheme, software and hardware composition of the autonomous driving simulation test system, studied the perception layer multisource data fusion perception recognition method and control strategy. We wrote relevant simple algorithms, conducted in-theloop test experiments on Mobileye vehicle-mounted vision sensors and multi-source data fusion perception test experiments at the perception layer, analyzed the experimental results, and verified the stability and reliability of the system.


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    Title :

    Design of Simulation Test System for Autonomous Driving of Intelligent Connected Vehicles


    Contributors:
    Shao, Jianwen (author) / Huang, Jiamin (author) / Zhao, Cunbin (author) / Ye, Zhenzhou (author) / Luo, Lei (author)


    Publication date :

    2025-06-25


    Size :

    272760 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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