In the area of artificial intelligence, automatic driving is a significant study area. Self-driving cars are vehicles that can sense and respond to surrounding environments to guarantee a safe and machine-controlled drive. However, the cost of a driverless car is considerably higher than a typical car, preventing the further promotion of such technology. The situation could be improved if there is a way to reduce the cost of sensors. This paper uses Machine Learning Agents to create a self-driving agent. The agent is trained under the Proximal Policy Optimization policy. In addition, a randomly generated map is constructed to improve the robustness of the agent. After training, the agent can drive the car without hitting walls and obstacles with six sensors. As tracks and blocks are randomly created, the driver agent applies to real-life situations and could be used as simulations for real self-driving cars.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Automatic driving model based on machine learning agents


    Beteiligte:
    Guo, Shutuo (Autor:in)

    Kongress:

    Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022) ; 2022 ; Chongqing,China


    Erschienen in:

    Proc. SPIE ; 12566 ; 125663B


    Erscheinungsdatum :

    28.03.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Automatic driving decision platform based on machine learning model

    QIAN BINGXU | Europäisches Patentamt | 2024

    Freier Zugriff

    Heuristic and machine learning agents in driving simulations

    MUKUNDAN PRIAM | Europäisches Patentamt | 2025

    Freier Zugriff

    Vehicle automatic driving system based on embedded and machine learning

    Fang, Peng / Zecong, Wang / Zhang, Xiangyun | IEEE | 2020


    Automatic driving control data determination method and machine learning model training method

    LIANG QI / LIU ZHENGYU / XIA ZHONGPU | Europäisches Patentamt | 2023

    Freier Zugriff

    Distributed training method of automatic driving learning model and automatic driving method

    XU XUNNONG / LIU XUAN / SHEN ZHENRUI | Europäisches Patentamt | 2022

    Freier Zugriff