The invention provides a data compensation model training method, a vehicle control method, a device and equipment. The invention relates to the technical field of artificial intelligence, in particular to the technical fields of data mining, data analysis, automatic driving and the like. According to the specific scheme, a first data set and a second data set are obtained; performing traffic sign feature mining on the first data set and the second data set in a road network database based on multiple dimensions to obtain a first target feature set; performing vehicle driving behavior feature mining on the first data set and the second data set in a map road network database based on multiple dimensions to obtain a second target feature set; and training the to-be-trained model based on the first target feature set and the second target feature set to obtain a data compensation model. According to the scheme provided by the invention, the empirical data can be obtained by fully mining the existing vehicle-mounted software and hardware data, and the missing data of the vehicle in a complex scene can be made up based on the empirical data, so that the safety of the automatic driving vehicle can be improved.

    本公开提供了数据补偿模型的训练方法、车辆控制方法、装置及设备。本公开涉及人工智能技术领域,尤其涉及数据挖掘、数据分析、自动驾驶等技术领域。具体方案为:获取第一数据集和第二数据集;基于多个维度在路网数据库中对第一数据集和第二数据集进行交通标识特征挖掘,得到第一目标特征集;基于多个维度在地图路网数据库中对第一数据集和第二数据集进行车辆行驶行为特征挖掘,得到第二目标特征集;基于第一目标特征集和第二目标特征集训练待训练模型,得到数据补偿模型。根据本公开的方案,能够通过对现有车载软件和硬件数据的充分挖掘得到经验数据,基于经验数据来弥补车辆在复杂场景下缺失的数据,从而有助于提高自动驾驶车辆的安全性。


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    Title :

    Data compensation model training method, vehicle control method, device and equipment


    Additional title:

    数据补偿模型的训练方法、车辆控制方法、装置及设备


    Contributors:

    Publication date :

    2023-11-17


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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