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Method for locating a more highly automated, eg, highly automated vehicle (HAF) with a digital location map

机译:用数字位置图定位高度自动化的例如高度自动化的车辆(HAF)的方法

摘要

The present invention relates to a method for locating a highly automated vehicle (HAF) on a digital location map. The method comprises detecting, by at least a first sensor, a characteristic of a semi-static object in the environment of the HAF, transmitting the characteristic and the vehicle position of the semi-static object to an evaluation unit S2, Classifying the object, assigning a feature “semi-static” to the semi-static object as a result of the classification, step S3, sending the feature of the semi-static object to the HAF local environment model S4, Step S4, checking when creating a local environment model, whether a landmark suitable for locating the HAF with respect to the location and / or approach path of the HAF is covered by a semi-static object. In step S5, the environment model is transmitted to the HAF in the form of a digital location map, and the digital location map is used to determine the location of the HAF. S5 including only landmarks suitable for locating the HAF that are not obscured by semi-static objects with respect to the approach path and / or locating the HAF using a digital location map. S6 is included. The invention further relates to a corresponding system and computer program.
机译:本发明涉及一种用于在数字位置地图上定位高度自动化的车辆(HAF)的方法。该方法包括:通过至少第一传感器,在HAF的环境中检测半静态物体的特征;将该半静态物体的特征和车辆位置传输到评估单元S2;对该物体进行分类;以及作为分类的结果,将特征“半静态”分配给半静态对象,步骤S3,将半静态对象的特征发送到HAF局部环境模型S4,步骤S4,在创建局部环境时进行检查在模型中,是否适合于相对于HAF的位置和/或进近路径定位HAF的地标是否被半静态对象覆盖。在步骤S5中,将环境模型以数字位置图的形式发送到HAF,并且该数字位置图用于确定HAF的位置。 S5仅包括适合于定位HAF的地标,该地标相对于进场路径没有被半静态物体遮盖和/或使用数字位置图定位HAF。包括S6。本发明还涉及相应的系统和计算机程序。

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