Abstract: Systems and methods for training an artificial intelligence unit for an automated vehicle are provided. The artificial intelligence unit includes a knowledge configuration. The artificial intelligence unit determines an evaluation value for at least two motion actions for the automated vehicle that considers an input state and the knowledge configuration. The input state characterizes the automated vehicle and at least one other road user. The system selects one motion action from the at least two motion actions, considers the evaluation value of the respective motion actions, and trains the artificial intelligence unit by adapting the knowledge configuration of the artificial intelligence unit based on the selected motion action. The knowledge configuration characterizes at least the empowerment of the at least one other road user.

Abstract: A device generates a first top view of a motor vehicle depending on a first view-related information from at least one image of at least one camera whose optical axis is substantially parallel to a plane spanned by the vehicle longitudinal direction and the vehicle lateral direction.

Abstract: A system trains a generator unit and a discriminator unit simultaneously. The generator unit is configured to determine a future trajectory of at least one other road user in the environment of a vehicle considering an observed trajectory of the at least one other road user. The discriminator unit is configured to determine whether the determined future trajectory of the other road user is an actual future trajectory of the other road user. The system is configured to train the generator unit and the discriminator unit simultaneously with gradient descent.

Abstract: A system trains a generator unit and a discriminator unit simultaneously. The generator unit is configured to determine a future trajectory of at least one other road user in the environment of a vehicle considering an observed trajectory of the at least one other road user. The discriminator unit is configured to determine whether the determined future trajectory of the other road user is an actual future trajectory of the other road user. The system is configured to train the generator unit and the discriminator unit simultaneously with gradient descent.