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Process for a measurement system in the vehicle for the detection and classification of objects in the vehicle environment using a deep learning process with a self-learning decision maker

机译:使用具有自学习决策者的深度学习过程对车辆中的测量系统进行检测和分类的方法

摘要

The invention relates to a method for recognizing objects and / or object components and / or arrangements of objects and / or object components on the basis of the second object recognition results of a second neural network model (136) of a second measuring system (161) and on the basis of third object recognition results of a fourth neural network model (156) of a third measuring system (162) by a fifth neural network model (158). The claimed method relates to the training of the neural networks, the fifth neural network model (158) acting as a voter.
机译:本发明涉及一种用于基于第二测量系统(161)的第二神经网络模型(136)的第二物体识别结果识别物体和/或物体成分和/或物体和/或物体成分的布置的方法。 ),并且基于第五测量神经网络模型(158)的第三测量系统(162)的第四神经网络模型(156)的第三对象识别结果。所要求保护的方法涉及神经网络的训练,第五神经网络模型(158)充当投票者。

著录项

  • 公开/公告号DE102019105363A1

    专利类型

  • 公开/公告日2020-08-13

    原文格式PDF

  • 申请/专利权人 ELMOS SEMICONDUCTOR AKTIENGESELLSCHAFT;

    申请/专利号DE201910105363

  • 发明设计人 JENNIFER DUTINÉ;

    申请日2019-03-04

  • 分类号B60W30/06;G06N3/02;

  • 国家 DE

  • 入库时间 2022-08-21 11:01:28

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