首页> 外国专利> METHOD FOR OPERATING A VEHICLE HAVING ENVIRONMENT SENSORS FOR DETECTING THE SURROUNDINGS OF THE VEHICLE, COMPUTER-READABLE MEDIUM, SYSTEM AND VEHICLE

METHOD FOR OPERATING A VEHICLE HAVING ENVIRONMENT SENSORS FOR DETECTING THE SURROUNDINGS OF THE VEHICLE, COMPUTER-READABLE MEDIUM, SYSTEM AND VEHICLE

机译:具有用于检测车辆,计算机可读介质,系统和车辆的周围环境的环境传感器的车辆的操作方法

摘要

The invention relates to a method for operating a vehicle having environment sensors for detecting the surroundings of the vehicle, the method comprising: detecting the surroundings of the vehicle by means of an environment sensor, the environment sensor providing raw data corresponding to the surroundings of the environment sensor; determining predefined features from the raw data of the environment sensor of the vehicle; determining one or more objects of the environment sensor on the basis of the determined, predefined features of the raw data of the environment sensor; fusing the determined objects of the environment sensors; identifying a traffic situation on the basis of the fused objects; training a machine learning process on the basis of the raw data of the environment sensors with regard to the identified traffic situation; learning of a new feature from the raw data of the environment sensor by means of the trained, machine learning process for the identified traffic situation; expanding the predefined features of the raw data of the environment sensor by the learned, new feature; determining the expanded features from the raw data of the environment sensor of the vehicle; determining one or more objects of the environment sensor on the basis of the determined, expanded features of the raw data of the environment sensor; fusing the determined objects with the expanded features of the environment sensors; and identifying the traffic situation on the basis of the fused objects with the expanded features.
机译:本发明涉及一种用于操作具有环境传感器的车辆的方法,该环境传感器用于检测车辆的周围环境,该方法包括:借助于环境传感器来检测车辆的周围环境,该环境传感器提供与车辆周围环境相对应的原始数据。环境传感器根据车辆环境传感器的原始数据确定预定义特征;根据所确定的环境传感器原始数据的预定特征,确定环境传感器的一个或多个对象;融合确定的环境传感器对象;根据融合的物体识别交通状况;根据环境传感器的原始数据,针对识别出的交通状况,训练机器学习过程;通过针对识别出的交通状况的受过训练的机器学习过程,从环境传感器的原始数据中学习新功能;通过学习到的新功能扩展环境传感器原始数据的预定义功能;根据车辆环境传感器的原始数据确定扩展特征;根据所确定的环境传感器原始数据的扩展特征,确定环境传感器的一个或多个对象;将确定的对象与环境传感器的扩展功能融合在一起;并基于具有扩展特征的融合对象识别交通状况。

著录项

  • 公开/公告号WO2019211067A1

    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WO2019EP59064

  • 发明设计人 ROSKOPF ANDRE;

    申请日2019-04-10

  • 分类号G08G1/01;B60W40/04;G06K9;G06K9/62;G06N5;G06N20;G06N3/08;

  • 国家 WO

  • 入库时间 2022-08-21 11:52:33

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