A computer-implemented method of training a neural network to select an object, a vehicle are provided. A computer-implemented method of training a neural network to select an object in the vicinity of a target vehicle, comprising: aggregating (S110) sensor data relating to a plurality of vehicles; filtering (S130) the sensor data according to one or more conditions, the conditions identifying an action of an ADAS/AD system of at least one of the plurality of vehicles; identifying (S150) one or more objects in the vicinity of the target vehicle based on the filtered sensor data; and training the neural network using (S170) the identified one or more objects to determine potential objects that cause triggering of an ADAS/AD system of another vehicle.

    提供了训练神经网络以选择对象的由计算机实现的方法、载具。一种训练神经网络以选择目标载具附近的对象的由计算机实现的方法,包括:聚集(S110)与多个载具相关的传感器数据;根据一个或更多个条件过滤(S130)所述传感器数据,所述条件标识所述多个载具中的至少一个载具的ADAS/AD系统的动作;基于经过滤的传感器数据标识(S150)目标载具附近的一个或更多个对象;以及使用(S170)所标识的一个或更多个对象来训练所述神经网络以确定引起触发另一载具的ADAS/AD系统的潜在对象。


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    Titel :

    Computer-implemented method for training neural network to select object, vehicle


    Weitere Titelangaben:

    训练神经网络以选择对象的由计算机实现的方法、载具


    Beteiligte:

    Erscheinungsdatum :

    12.12.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06V / 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 / G01S RADIO DIRECTION-FINDING , Funkpeilung




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