The invention discloses a brain-controlled driving method and system based on deep learning environment perception. The method comprises the following steps: constructing a brain-computer interface control normal form of sparse gradient evoked potential; obtaining target electroencephalogram signal data based on the brain-computer interface control normal form; processing the target electroencephalogram signal data to obtain a user control intention, and mapping the user control intention to a linear velocity-angular velocity space of the driving equipment; acquiring surrounding environment information of the driving equipment based on a deep learning network; and based on a dynamic environment adaptive control algorithm, integrating the user control intention and the surrounding environment information of the driving equipment, and performing man-machine cooperative control decision. According to the method, the problems of low brain control efficiency and difficulty in adaptability in a complex dynamic environment caused by non-coupling control of the linear speed and the angular speed of an existing traditional brain control driving system can be solved.

    本发明公开了一种基于深度学习环境感知的脑控驾驶方法及系统,方法包括:构建稀疏梯度诱发电位的脑机接口控制范式;基于所述脑机接口控制范式,获取目标脑电信号数据;对目标脑电信号数据进行处理,获取用户控制意图,并将所述用户控制意图映射到驾驶设备的线速度‑角速度空间;基于深度学习网络获取驾驶设备周围环境信息;基于动态环境自适应控制算法,整合所述用户控制意图与所述驾驶设备周围环境信息,进行人机协同控制决策。本发明能够解决现有传统脑控驾驶系统因线速度与角速度的非耦合性控制导致的脑控效率低下,以及难以在复杂动态环境中的适应性问题。


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Brain-controlled driving method and system based on deep learning environment perception


    Weitere Titelangaben:

    一种基于深度学习环境感知的脑控驾驶方法及系统


    Beteiligte:
    YAN TIANYI (Autor:in) / MING ZHIYUAN (Autor:in) / LIU SIYU (Autor:in) / ZHAO YAN (Autor:in) / LIU ZIYU (Autor:in) / LIU MENGZHEN (Autor:in) / CHEN QIMING (Autor:in) / WU JINGLONG (Autor:in) / LIU TIANTIAN (Autor:in) / PEI GUANGYING (Autor:in)

    Erscheinungsdatum :

    08.04.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



    DEEP LEARNING TYPE INTELLIGENT DRIVING ENVIRONMENT PERCEPTION SYSTEM BASED ON INTERNET OF THINGS

    WANG JIN / ZOU YONGSONG / CHEN HUA et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    Maritime Environment Perception Based on Deep Learning

    Lin, Jiaying / Diekmann, Phillip / Framing, Christian-Eike et al. | IEEE | 2022


    Automatic driving intelligent adaptive method and system based on driving environment perception

    SHANG JIN / YU DAWEI | Europäisches Patentamt | 2021

    Freier Zugriff

    Brain-controlled driving method, device and system based on deep electroencephalogram correlation classifier

    YAN TIANYI / LIU ZIYU / LIU SIYU et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Intelligent driving environment perception analysis system

    XIAO ZUMING | Europäisches Patentamt | 2021

    Freier Zugriff