首页> 外国专利> METHOD FOR OPERATING A DRIVER ASSISTANCE SYSTEM OF AN EGO VEHICLE HAVING AT LEAST ONE SURROUNDINGS SENSOR FOR DETECTING THE SURROUNDINGS OF THE EGO VEHICLE, COMPUTER READABLE MEDIUM, SYSTEM AND VEHICLE

METHOD FOR OPERATING A DRIVER ASSISTANCE SYSTEM OF AN EGO VEHICLE HAVING AT LEAST ONE SURROUNDINGS SENSOR FOR DETECTING THE SURROUNDINGS OF THE EGO VEHICLE, COMPUTER READABLE MEDIUM, SYSTEM AND VEHICLE

机译:具有至少一个周围传感器的自我车辆的驾驶员辅助系统的操作方法,用于检测自我车辆,计算机可读介质,系统和车辆的周围环境

摘要

The invention relates to a method for operating a driver assistance system of an ego vehicle having at least one surroundings sensor for detecting the surroundings of the ego vehicle, the method comprising: detecting movements of multiple vehicles with the at least one surroundings sensor in the surroundings of the ego vehicle; generating a movement model by means of the detected movements of the respective vehicles, wherein the movement model comprises movements between the respective vehicles relative to one another and movements between the respective vehicles and the ego vehicle; ascertaining a traffic situation and a probability of correct classification of the traffic situation on the basis of the generated movement model by means of an machine learning method, wherein one or more movement features of the generated movement model which are characteristic of the traffic situation are learned by means of the machine learning method, and wherein the traffic situation and the probability of the correct classification of the traffic situation are ascertained by means of the machine learning method on the basis of the learned characteristic features of the movement model; and adapting the driver assistance system of the ego vehicle to the ascertained traffic situation.
机译:本发明涉及一种用于操作具有至少一个用于检测自我车辆的周围环境的环境传感器的自我车辆的驾驶员辅助系统的方法,该方法包括:利用周围环境中的至少一个周围环境传感器来检测多个车辆的运动。自我车辆通过检测到的各个车辆的运动来产生运动模型,其中该运动模型包括各个车辆之间相对于彼此的运动以及各个车辆与自我车辆之间的运动;基于所产生的运动模型,通过机器学习方法来确定交通状况和正确分类交通状况的可能性,其中,学习所产生的运动模型的一个或多个作为交通状况特征的运动特征通过机器学习方法,其中基于学习的运动模型的特征,通过机器学习方法来确定交通状况和正确分类交通状况的概率;使自动车辆的驾驶员辅助系统适应所确定的交通状况。

著录项

  • 公开/公告号WO2019211293A1

    专利类型

  • 公开/公告日2019-11-07

    原文格式PDF

  • 申请/专利权人 BAYERISCHE MOTOREN WERKE AKTIENGESELLSCHAFT;

    申请/专利号WO2019EP61089

  • 发明设计人 ROSKOPF ANDRE;

    申请日2019-04-30

  • 分类号G06K9;G06K9/62;

  • 国家 WO

  • 入库时间 2022-08-21 11:52:37

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