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Method for spatial characterization of at least one vehicle image

机译:用于至少一个车辆图像的空间表征的方法

摘要

A method for the spatial characterization of at least one vehicle image (30) of image information (200), the image information (200) comprising the vehicle image (30) of an external vehicle (1) and an environment image (40) of an environment (6) of the external vehicle (1), The following steps are carried out: - determining a bounding frame (230) for the vehicle image (30) in order to use the bounding frame (230) for delimiting the vehicle image (30) from the image of the surroundings (40), - determining a dividing line (240 ) for the bounding frame (230) in order to use the dividing line (240) for a division of the vehicle image (30) into at least two vehicle sides (20, 21), - determining the spatial characterization on the basis of the bounding frame (230) and the dividing line (240 ), wherein for determining the bounding frame (230) and the dividing line (240) at least one evaluation means based on machine learning, in particular a neural network (210) is applied.
机译:一种用于图像信息(200)的至少一个车辆图像(30)的空间表征的方法,包括外部车辆(1)的车辆图像(30)和环境图像(40)的所述图像信息(200) 外部车辆(1)的环境(6),执行以下步骤: - 确定车辆图像(30)的边界帧(230),以便使用边界帧(230)来划定车辆图像 (30)来自周围环境(40)的图像, - 确定边界框架(230)的分割线(240),以便使用分割线(240),以将车辆图像(30)分成 至少两个车辆侧面(20,21), - 基于边界框架(230)和分频线(240)确定空间表征,其中用于确定边界帧(230)和分割线(240) 应用基于机器学习的至少一个评估装置,特别是神经网络(210)。

著录项

  • 公开/公告号DE102020103741A1

    专利类型

  • 公开/公告日2021-08-19

    原文格式PDF

  • 申请/专利权人 CAR.SOFTWARE ESTONIA AS;

    申请/专利号DE202010103741

  • 发明设计人 MICHA BRUNS;DANIEL DEGENHARDT;

    申请日2020-02-13

  • 分类号G06K9/46;

  • 国家 DE

  • 入库时间 2022-08-24 20:42:30

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