In some aspects, a device of a vehicle may obtain information related to an environment in which the vehicle is located. The device may use a machine learning model to determine a driving context of the vehicle based at least in part on the information related to the environment, and to determine a set of hyper-parameters of a model for determining driving behavior of the vehicle based at least in part on the driving context. The device may determine the driving behavior of the vehicle using the model configured with the set of hyper-parameters. The device may cause autonomous operation of the vehicle according to the driving behavior. Numerous other aspects are described.

    在一些方面,交通工具的设备可获得与该交通工具所位于的环境相关的信息。该设备可使用机器学习模型:至少部分地基于与该环境相关的该信息来确定该交通工具的驾驶情境,以及至少部分地基于该驾驶情境来确定用于确定该交通工具的驾驶行为的模型的超参数集合。该设备可使用利用该超参数集合配置的该模型来确定该交通工具的该驾驶行为。该设备可引起该交通工具根据该驾驶行为的自主操作。描述了众多其他方面。


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    Title :

    Model hyper-parameter adjustment using vehicle driving context classification


    Additional title:

    使用交通工具驾驶情境分类的模型超参数调整


    Contributors:

    Publication date :

    2024-11-15


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    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



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