A method for generating a plan-based attention signal includes receiving driving scenario data. The driving scenario data is indicative of a driving scenario around the primary vehicle. The driving scene data comprises map data and positioning data. The driving scene comprises a plurality of actors. The method further includes converting the driving scene data into a scene graph. The method further includes inputting the scene graph to a deep neural network (DNN). Further, the method includes determining an attention score for each of the plurality of actor using the DNN and the scene graph. The attention score for each of the plurality of actor represents a priority given to each of the plurality of actor in the driving scenario. The method also includes commanding the primary vehicle to automatically drive according to a trajectory determined by taking into account the attention score for each of the plurality of actor.
一种用于生成基于规划的注意力信号的方法,包括接收驾驶场景数据。驾驶场景数据指示主交通载具周围的驾驶场景。驾驶场景数据包括地图数据和定位数据。驾驶场景包括多个行动者。该方法还包括将驾驶场景数据转换成场景图。该方法还包括将场景图输入到深度神经网络(DNN)。此外,该方法包括使用DNN和场景图来确定多个行动者中的每一个的注意力分数。多个行动者中的每一个的注意力分数表示给予驾驶场景中的多个行动者中的每一个的优先级。该方法还包括命令主交通载具根据通过考虑多个行动者中的每一个的注意力分数而确定的轨迹自动驾驶。
Algorithm to generate plan-based attention signals
生成基于规划的注意力信号的算法
29.03.2024
Patent
Elektronische Ressource
Chinesisch
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 / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES |
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