TRAINING METHOD FOR A CONVOLUTIONAL NEURAL NETWORK FOR PREDICTING A DRIVING MANEUVER OF A TRAFFIC PARTICIPANT

摘要

The invention relates to a training method for a convolutional neural network for predicting a driving maneuver of at least one traffic participant (V0, V1) in a traffic scenario (S) of an ego-vehicle (E), comprising the steps:determining (S1) traffic data for the convolutional neural network (10), wherein the traffic data comprises a position of each of the traffic participants (V0, V1), a lane assignment for each of the traffic participants (V0, V1) and at least one additional traffic parameter, wherein the at least one additional traffic parameter relates to the traffic scenario (S); whereindetermining (S2) transformed traffic data by transforming positional coordinates of the traffic data into Frenet space;determining (S3) a trained convolutional neural network (10) by training the convolutional neural network dependent on the determined transformed traffic data.