In February 2020, Beijing, China andCalifornia, USA respectively released road test reports of 2019 for autonomous vehicles. Beijing and California respectively represent the highest level of testing and application of autonomous vehicles in the two countries. This article will compare the test items, evaluation criteria and technical defects of each autonomous vehicle company in the road test reports of China and the United States, also analyze the existing problems, and propose an idea for the construction of a comprehensive test site for autonomous vehicles. This article aims to solve the prominently exposed problems in decision-making and planning in autonomous vehicles with DQN algorithm-base vehicle fleet, and to look forward to the future development trend of autonomous driving testing.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Test Method for Decision Planning of Autonomous Vehicles Based on DQN Algorithm


    Beteiligte:
    Chen Hong Yun (Autor:in) / Li Yan Qiang (Autor:in) / Zhang Zi Hui (Autor:in) / Wang Yong (Autor:in)


    Erscheinungsdatum :

    2021




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Liveness-Based RRT Algorithm for Autonomous Underwater Vehicles Motion Planning

    Yang Li / Fubin Zhang / Demin Xu et al. | DOAJ | 2017

    Freier Zugriff

    Parking Planning with Genetic Algorithm for Multiple Autonomous Vehicles

    Luo, Chagen / Xu, Feng / Zeng, Dequan et al. | British Library Conference Proceedings | 2022


    Parking Planning with Genetic Algorithm for Multiple Autonomous Vehicles

    Luo, Chagen / Xu, Feng / Zeng, Dequan et al. | British Library Conference Proceedings | 2022



    Parking Planning with Genetic Algorithm for Multiple Autonomous Vehicles

    Luo, Chagen / Zeng, Dequan / Xu, Feng et al. | SAE Technical Papers | 2022