Method for trajectory prediction and method for automatically operating a vehicle

Abstract

A method for trajectory prediction of vehicles in the surroundings of an ego vehicle involves determining degrees of interaction between the vehicles using an attention-based interaction algorithm trained by machine. Individual vehicles from the multitude of the vehicles located in the surroundings of the ego vehicle are identified as relevant to the trajectory prediction by the interaction algorithm and selected for this when their respective degree of interaction with at least one of the vehicles whose trajectory is to be predicted exceeds a predetermined threshold value. In a subsequent learning step, a trajectory prediction algorithm is trained with the vehicles selected as relevant to the trajectory prediction, and the trajectory prediction carried out by the trajectory prediction algorithm is carried out for the vehicles selected as relevant to the trajectory prediction.