A vehicle includes a system and method of navigating the vehicle. The system includes a sensor and a processor. A sensor captures an image of a road. The processor focuses the sensor on a selected segment from a plurality of segments of the roadway using a machine learning program based on the risk of the segment. The machine learning program is trained to calculate a risk for each of a plurality of segments of the road based on a risk probability associated with each segment and an occupancy probability associated with each segment, select a segment from the plurality of segments based on the risk associated with the segment, and determining a reduction in risk of the road risk model of the road due to the selection of the road segment.

    车辆包括导航车辆的系统和方法。该系统包括传感器和处理器。传感器捕获道路的图像。处理器基于路段的风险使用机器学习程序将传感器聚焦在从道路的多个路段中选择的路段。机器学习程序被训练成通过一下来聚焦传感器:基于与每个路段相关联的危险概率和与每个路段相关联的占用概率来计算道路的多个路段中的每个路段的风险,基于与路段相关联的风险从多个路段中选择路段,以及确定由于选择所述路段而导致的道路的道路风险模型的风险的降低。


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    Title :

    Intersection collision mitigation risk assessment model


    Additional title:

    交叉路口碰撞缓解风险评估模型


    Contributors:

    Publication date :

    2023-01-13


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / 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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