Computer-implemented system and method for predicting future developments of a traffic scene

A computer-implemented system for predicting future developments of a traffic scene is proposed, with which a high significance of the prediction can be achieved and the computational effort for the prediction can be limited. For this purpose, the system includes a perception level for aggregating scene-specific information of an input scene, a backbone network for generating a feature set of latent features based on the scene-specific information, a classifier evaluating a specified number of different modes for the future developments of the input scene based on the feature set, and for each mode, a prediction module for generating a prediction for the future development of the input scene, wherein at least one prediction module can optionally be activated.