METHOD FOR TRAINING AN ARTIFICIAL NEURAL NETWORK, ARTIFICIAL NEURAL NETWORK, USE OF AN ARTIFICIAL NEURAL NETWORK, CORRESPONDING COMPUTER PROGRAM, MACHINE-READABLE STORAGE MEDIUM AND CORRESPONDING DEVICE

摘要

The invention relates to a method for training an artificial neural network, in particular a convolutional neural network, for determining a path prediction for a vehicle as an output variable in dependence on an initial state of the vehicle, a final state of the vehicle and information about the environment of the vehicle as input variables, the path comprising at least one pose of the vehicle, each pose comprising information regarding a position and information regarding an orientation at the position, comprising the steps: optimizing the artificial neural network, the determination of the information regarding a position and the determination of the information regarding an orientation being jointly optimized in the optimizing step.