根据各种实施方式,描述了用于操作自动驾驶车辆(ADV)的系统、方法和介质。实施方式使用多个机器学习模型分别从由安装在ADV上的传感器捕获的音频数据和视觉数据中提取特征,然后融合提取的这些特征以创建级联特征向量。级联特征向量被提供到多层感知器(MLP)作为输入,以产生与周围环境中是否存在紧急车辆相关的检测结果。ADV可使用检测结果来采取适当的行动以遵守当地的交通规则。

    According to various embodiments, systems, methods, and mediums for operating an autonomous driving vehicles (ADV) are described. The embodiments use a number of machine learning models to extract features individually from audio data and visual data captured by sensors mounted on the ADV, and then to fuse these extracted features to create a concatenated feature vectors. The concatenated feature vector is provided to a multiplayer perceptron (MLP) as input to generate a detection result related to the presence of an emergency vehicle in the surrounding environment. The detection result can be used by the ADV to take appropriate actions to comply with the local traffic rules.


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    Titel :

    融合紧急车辆音频和视觉检测的机器学习模型


    Erscheinungsdatum :

    2024-07-26


    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