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公开(公告)号:US20210056432A1
公开(公告)日:2021-02-25
申请号:US16999533
申请日:2020-08-21
Inventor: Sebastian BANNENBERG , Fabian LORENZ , Rainer RASCHE
Abstract: A computer-implemented method for training an artificial neural generator network of generative adversarial networks for the purpose of approximating second test results from an identified subset of first test results of a virtual test of a device for at the least partial autonomous guidance of a motor vehicle. The invention also relates to a computer-implemented method for training an artificial neural discriminator network, a test unit, a computer program and a computer-readable data carrier.