首页> 外国专利> Procedure for the validation of machine learning procedures in the field of automated driving based on synthetic image data as well as computer program, machine-readable storage medium and artificial neural network

Procedure for the validation of machine learning procedures in the field of automated driving based on synthetic image data as well as computer program, machine-readable storage medium and artificial neural network

机译:基于合成图像数据以及计算机程序,机器可读存储介质和人工神经网络的自动驾驶领域机器学习程序的验证程序

摘要

Method (100) for validating an ML method under a scenario, comprising the steps of: determining (101) a set of values from a range of values for a scenario parameter of the scenario, the determination being carried out using a random method; creating (102) synthetic image data by simulating the Scenarios based on the specific set of values for the scenario parameter; transforming (103) the created image data into photorealistic images using an ML method (203) for transforming synthetic image data into photorealistic images, in particular using an artificial neural network, in particular using a Generative Aderversial Networks or a method for style transfer or a method for image-to-image transformation; Assessment (104) of the ML method for validation using the photorealistic images.
机译:用于验证场景下的ML方法的方法(100),包括以下步骤:从该场景的场景参数的值范围确定(101)一组值,该确定是使用随机方法进行的;以及通过基于场景参数的特定值集模拟场景来创建(102)合成图像数据;使用ML方法(203)将创建的图像数据转换为逼真的图像,尤其是使用人工神经网络,尤其是使用Generative Aderversial Networks或样式传递或转换的方法,将ML方法(203)转换为逼真的图像。图像到图像转换的方法; ML方法的评估(104),用于使用真实感图像进行验证。

著录项

  • 公开/公告号DE102018218186A1

    专利类型

  • 公开/公告日2020-04-30

    原文格式PDF

  • 申请/专利权人 ROBERT BOSCH GMBH;

    申请/专利号DE102018218186A1

  • 发明设计人 SEBASTIAN SUDHOLT;

    申请日2018-10-24

  • 分类号G16Z99;G06T15;G06T1/40;B60W30/08;G08G1/16;G06T7;

  • 国家 DE

  • 入库时间 2022-08-21 11:01:38

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