The invention relates to the technical field of vehicle control, in particular to an unmanned vehicle control method based on deep learning, and the method comprises the following steps: collecting the multi-modal data of weak participants in a road environment in real time, and recognizing the weak participants; the behaviors of the weak participants at the next moment are predicted through multi-dimensional information fusion, and behavior intention prediction of the weak participants is carried out; the path planning and control strategy of the vehicle is adjusted in real time through the self-adaptive decision control module; and when the predicted behavior intention of the weak participant has high uncertainty or potential risk, an emergency avoidance mechanism is automatically triggered, the risk level of the current traffic environment is dynamically evaluated, an optimal avoidance path is generated, and emergency stop or detour operation is executed. According to the method, double guarantees of high-dimensional analysis of behavior intentions of participants and real-time control of vehicles are combined, and the driving safety in a complex traffic scene is ensured.

    本发明涉及车辆控制技术领域,具体涉及一种基于深度学习的无人驾驶车辆控制方法,包括以下步骤:实时采集道路环境中的弱小参与者的多模态数据,识别弱小参与者;通过多维信息融合,预测其下一时刻的弱小参与者行为,进行弱小参与者的行为意图预测;通过自适应决策控制模块对车辆的路径规划和控制策略进行实时调整;当预测到的弱小参与者行为意图存在高度不确定性或潜在风险时,自动触发紧急规避机制,动态评估当前交通环境的风险等级,生成最佳规避路径并执行紧急停车或绕行操作,本发明,结合了对参与者行为意图的高维度分析与车辆实时控制的双重保障,确保复杂交通场景下的行车安全性。


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Unmanned vehicle control method based on deep learning


    Weitere Titelangaben:

    一种基于深度学习的无人驾驶车辆控制方法


    Beteiligte:
    WENG XIUQI (Autor:in) / CHEN JIAGUO (Autor:in) / ZHOU LI (Autor:in) / WANG ZIHU (Autor:in)

    Erscheinungsdatum :

    10.01.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06V / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / 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



    Communication unmanned aerial vehicle track optimization control method based on deep intensity learning

    YIN RUI / PENG JINGWEI / YUAN JIANTAO et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    UNMANNED AERIAL VEHICLE FLIGHT CONTROL SYSTEM AND METHOD USING DEEP LEARNING

    CHOI YOUNG SIK / HWANG GUEM BUEL | Europäisches Patentamt | 2017

    Freier Zugriff

    Unmanned vehicle power battery power control method and system based on deep learning

    XUE WENJUN / XIAO KE / XUE XINGWEI et al. | Europäisches Patentamt | 2025

    Freier Zugriff