Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting occupancy of factors. One of the methods includes obtaining scene data characterizing a current scene in an environment; and processing a neural network input comprising the scene data using a neural network to generate a neural network output, where: the neural network output comprises respective occupancy outputs corresponding to the plurality of factor types at one or more future time points; the occupancy output at the first future time point for each factor type includes respective occupancy probabilities for a plurality of locations in the environment; and in an occupancy output at a first future time point for each factor type, a respective occupancy probability for each location characterizes a likelihood that a factor of the factor type will occupy the location at the first future time point.

    用于预测因素的占据的方法、系统和装置,包括编码在计算机存储介质上的计算机程序。方法之一包括获得表征环境中的当前场景的场景数据;以及使用神经网络处理包括场景数据的神经网络输入,以生成神经网络输出,其中:该神经网络输出包括与多种因素类型在一个或多个未来时间点处对应的相应占据输出;针对每种因素类型在第一未来时间点处的占据输出包括环境中多个位置的相应占据概率;并且在针对每种因素类型在第一未来时间点处的占据输出中,每个位置的相应占据概率表征该因素类型的因素将在第一未来时间点占据该位置的可能性。


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    Titel :

    Behavioral prediction of surrounding factors


    Weitere Titelangaben:

    对周围因素的行为预测


    Beteiligte:
    BANSAL MUKESH (Autor:in) / ANGELOV DIRK (Autor:in)

    Erscheinungsdatum :

    2023-04-04


    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 / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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