The invention discloses an automatic driving method based on a neural network. The neural network comprises a first feature extraction part, a second feature extraction part and a decision-making partwhich are trained, wherein the first feature extraction part and the decision-making part are feedforward neural networks, and the second feature extraction part is a convolutional neural network. The method comprises the following steps of: inputting a first type of data associated with automatic driving of a vehicle into the first feature extraction part to extract a first type of features, wherein the first type of data is one-dimensional data; inputting a second type of data associated with automatic driving of the vehicle into the second feature extraction part to extract a second type of features, wherein the second type of data is multi-dimensional data; and inputting the first type of features and the second type of features into the decision-making part to determine a current driving strategy of the automatic driving vehicle. The invention further discloses an automatic driving device and the like.

    本申请公开了一种基于神经网络的自动驾驶方法,神经网络包括经训练的第一特征提取部分、第二特征提取部分和决策部分,第一特征提取部分和决策部分是前馈神经网络,第二特征提取部分是卷积神经网络,方法包括:将与车辆的自动驾驶相关联的第一类数据输入第一特征提取部分以提取出第一类特征,第一类数据是一维数据;将与车辆的自动驾驶相关联的第二类数据输入第二特征提取部分以提取出第二类特征,第二类数据是多维数据;将第一类特征和第二类特征输入决策部分,以确定自动驾驶的车辆当前的驾驶策略。还公开了自动驾驶装置等。


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    Title :

    Automatic driving method, device, equipment, system, vehicle and computer readable storage medium


    Additional title:

    自动驾驶方法、装置、设备、系统、车辆和计算机可读存储介质


    Contributors:
    YOU CHANGXI (author)

    Publication date :

    2020-08-25


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    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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