A method of forecasting risk-biased trajectories of agents surrounding an ego vehicle is described. The method includes sampling a risk-neutral latent space generated by a trained encoder of a generative network based on past surrounding agent trajectories. The method also includes predicting, based on the sampling of the risk-neutral latent space, risk-neutral future surrounding agent trajectories using a trained decoder of the generative network. The method further includes sampling a risk-biased latent space distribution generated by a trained, risk-aware encoder of the generative network based on past trajectories of the ego vehicle and a risk-sensitivity. The method also includes predicting, based on the sampling of the risk-biased latent space distribution, risk-biased future surrounding agent trajectories using the trained decoder of the generative network.


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    Titel :

    SYSTEM AND METHOD FOR RISK-BIASED TRAJECTORY FORECASTING


    Beteiligte:

    Erscheinungsdatum :

    06.06.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    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



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