METHOD FOR GENERATING A TRAINING DATA RECORD FOR TRAINING AN ARTIFICIAL INTELLIGENCE MODULE FOR A CONTROL DEVICE OF A VEHICLE

摘要

A method is provided for generating a training data record for training an artificial intelligence (AI) module (1). In the method, an image sequence (5), in which surroundings (6) of a robot are detected, is first provided. At least one trajectory (14a-14e) that can be arranged in the detected surroundings (6) of the robot is then determined. In the method, at least one future image series is also generated, which image series extends to a time segment (t0+n) in the future in relation to a sequence end time (t0), and images are predicted, based on the at least one particular trajectory (14a-14e), for the case in which the particular trajectory (14a-14e) would be followed during the future time period segment (t0+n). At least one partial section of the trajectory (14a-14e) determined contained in the image series generated is evaluated as positive if a movement predicted by following the trajectory (14a-14e) corresponds to a valid movement situation, or as negative if the movement predicted by following the trajectory (14a-14e) corresponds to an invalid movement situation; and the future image series generated is combined with said allocated evaluation of the trajectory (14a-14e) to generate a training data record (2) for the AI module (1). As a result, the AI module (1) can be trained by a driving simulator that is based on the recorded and thus realistic image sequence (5) in combination with a prediction that can be obtained with relatively low computing effort.