A method comprises detecting one or more agent objects in a space around an ego object using image data captured by a camera of the ego object; storing a hierarchical nodal graph comprising a goal layer comprising one or more goal nodes and a plurality of interaction layers of interaction nodes subsequent to the goal layer; adding an interaction node to an interaction layer of interaction nodes of the plurality of interaction layers; determining a trajectory score for each of a plurality of trajectories based on one or more node scores of one or more nodes corresponding to the trajectory within the hierarchical nodal graph; and selecting a trajectory of the plurality of trajectories for the ego object based on the trajectory score for the trajectory.
ARTIFICIAL INTELLIGENCE MODELING TECHNIQUES FOR JOINT BEHAVIOR PLANNING AND FORECASTING
VERFAHREN ZUR MODELLIERUNG VON KÜNSTLICHER INTELLIGENZ ZUR PLANUNG UND VORHERSAGE VON GELENKVERHALTEN
TECHNIQUES DE MODÉLISATION D'INTELLIGENCE ARTIFICIELLE POUR PLANIFICATION ET PRÉVISION DE COMPORTEMENT CONJOINT
06.08.2025
Patent
Elektronische Ressource
Englisch
IPC: | G06V / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / 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 / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung |
ARTIFICIAL INTELLIGENCE MODELING TECHNIQUES FOR JOINT BEHAVIOR PLANNING AND FORECASTING
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