The invention relates to a computer-implemented method for predicting and planning trajectories, said method comprising the steps of: processing a first machine learning model (IntCNN) (V3) which receives as input the hybrid scene representation (HSRV) and has been trained or is trained by means of reference predictions to determine interactions between the static (stat) and dynamic (dyn) environment features, wherein a function of the first machine learning model (IntCNN) is applied to the first layer (A, B, C), the second layer (D, E) and the third layer (F, G, H), and an integration (M) of the rigid static environment features (stat_1), the state-changing static environment features (stat_2) and the dynamic environment features (dyn) is generated, and the integration (M) is output from the machine learning model (IntCNN).
COMPUTERIMPLEMENTIERTES VERFAHREN, COMPUTERPROGRAMM UND ANORDNUNG ZUM VORHERSAGEN UND PLANEN VON TRAJEKTORIEN
COMPUTER-IMPLEMENTED METHOD, COMPUTER PROGRAMME, AND ARRANGEMENT FOR PREDICTING AND PLANNING TRAJECTORIES
PROCÉDÉ MIS EN OEUVRE PAR ORDINATEUR, PROGRAMME INFORMATIQUE ET ENSEMBLE POUR LA PRÉDICTION ET LA PLANIFICATION DE TRAJECTOIRES
2024-02-14
Patent
Electronic Resource
German
IPC: | G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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