公开(公告)号：US20240394518A1

公开(公告)日：2024-11-28

申请号：US18675239

申请日：2024-05-28

Applicant: Cognata Ltd.

Inventor： Dan ATSMON ,  Alon Avraham ATSMON

IPC: G06N3/0475 ,  B60W60/00

Abstract: A method for generating training data for a machine learning model comprising: accessing a plurality of output values of a machine learning model computed in response to a plurality of input data samples; analyzing the plurality of output values and the plurality of input data samples to compute a plurality of required data sample characteristics associated with at least one unsatisfactory output value of the plurality of output values; generating at least one new input data sample by providing a data generator with a plurality of generation constraints comprising the plurality of required data sample characteristics; and adding the at least one new input data sample to a data repository for producing training data for the machine learning model; wherein the at least one new input data sample comprises at least part of a simulated driving environment for training the machine learning model to operate in an autonomous automotive system.