The invention discloses a mixed traffic flow-oriented driving intention recognition method and system. The method comprises the steps of obtaining traffic information; wherein the traffic information comprises state information of the target vehicle and surrounding vehicles, and road information of the target vehicle; the state information comprises the position of the vehicle and the speed of the vehicle; the acquired traffic information is preprocessed; wherein the preprocessing comprises data cleaning, data extraction, feature expansion and data standardization; based on the preprocessed traffic information, predicting the driving intention of the target vehicle by using a preset driving intention recognition model; wherein the driving intention recognition model is a deep neural network model; according to the probability of each driving intention, outputting a driving intention category with the maximum probability; wherein the driving intention categories comprise left lane changing, lane keeping and right lane changing. According to the invention, classification of driving intentions of human drivers can be realized.

    本发明公开了一种面向混合交通流的驾驶意图识别方法及系统,该方法包括:获取交通信息;其中,交通信息包括目标车辆和周围车辆的状态信息,以及目标车辆的道路信息;状态信息包括车辆的位置和车辆的速度;对获取的交通信息进行预处理;其中,预处理包括数据清洗、数据提取、特征扩充以及数据标准化;基于预处理后的交通信息,利用预设的驾驶意图识别模型预测目标车辆的驾驶意图;其中,驾驶意图识别模型为深度神经网络模型;根据各驾驶意图的概率,输出概率最大的驾驶意图类别;其中,驾驶意图类别包括向左换道、车道保持以及向右换道。本发明能够实现人类驾驶员的驾驶意图的分类。


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    Titel :

    Driving intention recognition method and system for mixed traffic flow


    Weitere Titelangaben:

    一种面向混合交通流的驾驶意图识别方法及系统


    Beteiligte:
    FANG HUAZHEN (Autor:in) / LIU LI (Autor:in) / GU QING (Autor:in) / MENG YU (Autor:in)

    Erscheinungsdatum :

    2022-07-05


    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



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