Computer-Implemented Method and System for Planning the Behavior of a Participant in a Traffic Scene

A computer-implemented method is for behavior planning of a participant in a traffic scene. The method includes generating a grid-based scene representation based on aggregated scene-specific information and dividing the grid-based scene representation into multiple tiles each representing a partial area of the traffic scene. The method further includes distributing the scene-specific information over at least two semantic levels of the scene representation. The distribution is retained during the division into tiles in order to form at least one type of sub-tile based on the tiles and the semantic levels. The method further includes mapping the grid-based scene representation to latent features based on the tiles or sub-tiles. The semantic relationships between the tiles or sub-tiles of at least one type are taken into account. The latent features thus generated are used as input for at least one downstream deep learning module for predicting a development of the traffic scene.