Method for teleoperated driving, wherein a vehicle is controlled on the basis of an input from a user, wherein a first prediction for an unavailable portion of information about a state and/or surroundings of the vehicle is determined, wherein an available portion of the information about the state and/or the surroundings of the vehicle and the first prediction are mapped onto a second prediction for the state and/or the surroundings of the vehicle by a mapping, and the second prediction is output for the teleoperated driving, a communication device receiving a first packet stream and determining a first data stream therefrom, characterized in that a decoding device takes the first data stream and determines data frames that comprise data relating to an image, in that the data from one or more of the data frames arrive at a first input of a device for predicting data frames and are stored in a first memory , in that data that are determined from a dataset or multiple datasets on the basis of the input from the user arrive at a second input and are stored in a second memory , in that data from a predicted data frame or multiple predicted data frames arrive at a third input of the device and are stored in a third memory , in that an artificial neural network of the device maps a dataset from the second memory and a data frame from a fourth memory onto a predicted data frame at an output , in that the fourth memory - is connected via a first data connection to the first memory , - is connected via a second data connection to the third memory and is connected via a fourth data connection to the input of the artificial neural network , and in that the second memory is connected via a third data connection to an input of the artificial neural network , the output of which outputs the predicted data frame. in that a decoding device takes the first data stream and determines data frames that comprise data relating to an image, in that the data from one or more of the data frames arrive at a first input of a device for predicting data frames and are stored in a first memory , in that data that are determined from a dataset or multiple datasets on the basis of the input from the user arrive at a second input and are stored in a second memory , in that data from a predicted data frame or multiple predicted data frames arrive at a third input of the device and are stored in a third memory , in that an artificial neural network of the device maps a dataset from the second memory and a data frame from a fourth memory onto a predicted data frame at an output , in that the fourth memory - is connected via a first data connection to the first memory , - is connected via a second data connection to the third memory and is connected via a fourth data connection to the input of the artificial neural network , - is connected via a first data connection to the first memory , - is connected via a second data connection to the third memory and is connected via a fourth data connection to the input of the artificial neural network , and in that the second memory is connected via a third data connection to an input of the artificial neural network , the output of which outputs the predicted data frame. <EOS>