The invention discloses a man-machine sharing control regionalization decision-making method based on a Gaussian hidden Markov model. The method comprises the following steps: step 1, information acquisition; step 2, information processing; step 3, grade judgment; step 4, preliminary distribution; step 5, final distribution; step 6, updating in real time; in the first step, real-time driving information of a driver and real-time driving information of an auxiliary driving system are collected from a control panel, sensing equipment and an auxiliary driving system module through an information collection module; according to the method, different coping capacities and sensitivities of the driver to environmental risks from different directions are comprehensively considered, and a double-chain structure of the hidden Markov model is fully utilized, so that the specificity, the relative driving ability, the vehicle environmental risk degree, the area where the vehicle is located and the like of the driver are comprehensively considered; finally, self-adaptive automatic adjustment of a driver control right switching strategy is achieved, and driving is safer and more comfortable.

    本发明公开了基于高斯隐马尔可夫模型的人机共享控制区域化决策方法,包括以下步骤:步骤一,信息采集;步骤二,信息处理;步骤三,等级判断;步骤四,初步分配;步骤五,最终分配;步骤六,实时更新;其中在上述步骤一中,通过信息采集模块从控制面板、感知设备和辅助驾驶系统模块上收集驾驶人实时行车信息和辅助驾驶系统实时行车信息;该发明综合考虑驾驶人对于来自不同方向的环境风险的不同应对能力与敏感性,充分利用隐马尔可夫模型的双链结构,实现驾驶人特异性、相对驾驶能力、车辆环境风险程度以及所在区域等的综合考量,最终实现驾驶人控制权切换策略的自适应自动调整,驾驶更安全、舒适。


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Man-machine sharing control regionalization decision-making method based on Gaussian hidden Markov model


    Weitere Titelangaben:

    基于高斯隐马尔可夫模型的人机共享控制区域化决策方法


    Beteiligte:
    LIU FANG (Autor:in) / SU WEIXING (Autor:in) / ZHU TIANHE (Autor:in)

    Erscheinungsdatum :

    01.11.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    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



    Driving intention recognition method based on Gaussian mixture-hidden Markov model

    SHEN YU / LIU GUANGHUI / XU JIAWEN et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Theoretical research of decision-making point in air combat based on hidden Markov model

    Feng, Chao / Jing, Xiaoning / Li, Qiuni et al. | British Library Online Contents | 2017


    Vehicle behavior prediction method based on dual-channel Gaussian mixture hidden Markov model

    WANG YIJING / LI ZHENG / ZUO ZHIQIANG | Europäisches Patentamt | 2022

    Freier Zugriff

    Research of Driving Fatigue Detection Based on Gaussian Mixture Hidden Markov Model

    Zhang, Mingheng / Wan, Xing / Liu, Zhaoyang et al. | SAE Technical Papers | 2020


    Research of Driving Fatigue Detection Based on Gaussian Mixture Hidden Markov Model

    Zhang, Mingheng / Guo, Zhengxian / Liu, Zhaoyang et al. | British Library Conference Proceedings | 2020