一种系统、设备或过程可以被配置成实施一种应用,该应用利用人工智能和/或机器学习技术为自主车辆系统(例如,自主车辆的规划器、模拟器或远程操作员的一个或多个)预测最优动作流程(或动作流程的子集),以基于欠最优自主车辆性能和/或所检测传感器数据的变化(例如,新的建筑物、地标、坑洼等)加以采用。该应用可以在解决由于事件或状况造成的异常时,基于若干决策和交互而确定轨迹的子集。该应用可以使用来自多个自主车辆的汇集传感器数据辅助(例如,使用语意场景分类)识别可能影响行驶的事件或状况。可以响应于语意改变(例如,道路建设)基于建议来形成轨迹的最优子集。

    A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an autonomous vehicle, a simulator, or a teleoperator) to undertake based on suboptimal autonomous vehicle performance and/or changes in detected sensor data (e.g., new buildings, landmarks, potholes, etc.). The application may determine a subset of trajectories based on a number of decisions and interactions when resolving an anomaly due to an event or condition. The application may use aggregated sensor data from multiple autonomous vehicles to assist in identifying events or conditions that might affect travel (e.g., using semantic scene classification). An optimal subset of trajectories may be formed based on recommendations responsive to semantic changes (e.g., road construction).


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    Titel :

    自主车辆、用于控制其的方法和系统以及计算机可读介质


    Erscheinungsdatum :

    2022-08-16


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G01S RADIO DIRECTION-FINDING , Funkpeilung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS