VEHICLE SYSTEM FOR IDENTIFYING AND LOCATING NON-AUTOMOBILE USERS USING SOUNDS

A training system for a street vehicle for detecting non-automobile road users based on sounds, comprises an input interface for receiving target training data, wherein the target training data are audio recordings of the non-automobile road user recorded by at least one microphone located on the street vehicle while driving the street vehicle, and respective associated target characteristics ofthis non-automobile road user, and wherein the training system is configured to forward propagate an artificial neural network with the target training data and to record an actual characteristic of the respective non-automobile road user determined with the artificial neural network in the forward propagation, and to obtain weighting factors for the connections of neurons in the artificial neuralnetwork through backward propagation of the artificial neural network with the difference between the determined actual characteristic and the associated target characteristic. The invention also relates to a corresponding tra