The invention provides an automatic driving control data determination method and a machine learning model training method, and relates to the technical field of computers, in particular to the technical field of artificial intelligence, automatic driving, machine learning and intelligent traffic. According to the specific implementation scheme, a target machine learning model is used for processing target steering control parameter data for a target vehicle, and track error data for the target vehicle is obtained; and determining target control data for controlling driving of the target vehicle according to the trajectory error data. According to the automatic driving control data determination method and the machine learning model training method provided by the invention, the trajectory error prediction accuracy of the target vehicle in transverse control, curve and steering scenes can be improved, and the driving safety of the target vehicle can be improved.

    本公开提供了一种自动驾驶控制数据确定方法、机器学习模型训练方法,涉及计算机技术领域,尤其涉及人工智能、自动驾驶、机器学习以及智能交通技术领域。具体实现方案为:利用目标机器学习模型对针对目标车辆的目标转向控制参数数据进行处理,得到针对目标车辆的轨迹误差数据;以及根据轨迹误差数据,确定用于对目标车辆的行驶进行控制的目标控制数据。根据本公开提供的自动驾驶控制数据确定方法以及机器学习模型训练方法例如可以提高横向控制、弯道、转向场景下的目标车辆的轨迹误差预测准确性以及提高目标车辆的行驶安全。


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    Title :

    Automatic driving control data determination method and machine learning model training method


    Additional title:

    自动驾驶控制数据的确定方法及机器学习模型训练方法


    Contributors:
    LIANG QI (author) / LIU ZHENGYU (author) / XIA ZHONGPU (author)

    Publication date :

    2023-05-23


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



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