The invention relates to a method for predicting an influence of one road user (V1 to V3) on at least one other road user (V1 to V3) by evaluating traffic scenarios using a trained artificial neural network (N). According to the invention, the neural network (N) is trained using recorded traffic scenarios, wherein the traffic scenarios involve several road users (V1 to V3) and are labelled with score values that represent an influence on one road user (V1 to V3) by other road users (V1 to V3). A specific score value for one road user (V1 to V3) with respect to another road user (V1 to V3) is calculated based on an ascertainment of a deviation (d2 to d4) between two trajectories (T1, T2) of said one road user (V1 to V3). One of the two trajectories (T1, T2) is a detected real trajectory (T1) that said one road user (V1 to V3) actually travels upon in a specific recorded traffic scenario, and the other of the two trajectories (T1, T2) is a simulated trajectory (T2) which is ascertained in a simulation and which represents a trajectory (T2) that said one road user (V1 to V3) would travel upon in the same traffic scenario if the other road user (V1 to V3) were not present.
VERFAHREN ZUR PRÄDIKTION EINES EINFLUSSES EINES VERKEHRSTEILNEHMERS AUF ZUMINDEST EINEN ANDEREN VERKEHRSTEILNEHMER UND VERFAHREN ZUM BETRIEB EINES FAHRZEUGS
METHOD FOR PREDICTING AN INFLUENCE OF ONE ROAD USER ON AT LEAST ONE OTHER ROAD USER, AND METHOD FOR OPERATING A VEHICLE
PROCÉDÉ DE PRÉDICTION D'UNE INFLUENCE D'UN USAGER DE LA ROUTE SUR AU MOINS UN AUTRE USAGER DE LA ROUTE, ET PROCÉDÉ DE FONCTIONNEMENT D'UN VÉHICULE
2025-02-19
Patent
Electronic Resource
German
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G09B Unterrichts- oder Vorführungsgeräte , EDUCATIONAL OR DEMONSTRATION APPLIANCES |
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