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Process for the recognition of object relationships and attributions from sensor data

机译:从传感器数据识别对象关系和归属的过程

摘要

The invention relates to a method for recognizing object relationships and attributions from sensor data, having the following steps: - Acquiring environmental data by means of a sensing device of at least one vehicle, - Providing a reference map (RM) containing objects with attributes and object relationships, - The determined environmental data in the reference map (RM) are projected or the reference map (RM) is projected into the determined environment data, - objects recognized in the environment data and assigned to the objects in the reference map (RM), wherein - the objects recognized in the environment data with the Attributes and object relationships of the assigned objects are enriched from the reference map (RM), - at least one classifier (3, 3.1, 3.2, 3.3, 3.4) designed as a machine learning algorithm is trained with the enriched data, and - the at least one trained Classifier (3, 3.1, 3.2, 3.3, 3.4) on by means of the recording device Environment data recorded in the direction of a vehicle is used to identify attributes and object relationships
机译:本发明涉及一种用于识别来自传感器数据的对象关系和归属的方法,具有以下步骤: - 通过至少一个车辆的传感设备获取环境数据, - 提供包含具有属性的对象的参考图(RM)和对象关系 - 投影参考映射(RM)中的所确定的环境数据,或者将参考映射(RM)投影到所确定的环境数据中, - 在环境数据中识别的对象并分配给参考映射中的对象(RM ),其中 - 与分配对象的属性和对象关系识别的环境数据中识别的对象从参考图(RM), - 设计为一个分类器(3,3.1,3.2,3.3,3.4)机器学习算法使用丰富的数据培训,以及 - 借助记录在DIREC中的记录设备环境数据,至少一个培训的分类器(3,3.1,3.2,3.3,3.4)车辆用于识别属性和对象关系

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