Techniques predicting object trajectories and metadata are described herein. For example, the techniques may include inputting data representing a top-down view of an environment into a machine learned model. In some examples, the top-down view can include rasterized data or vectorized data. The machine learned model may output trajectories (e.g., position data, velocity data, acceleration data, etc.) and metadata (e.g., yaw, object state data, etc.) of one or more objects in the environment indicating future positions of the object(s). The machine learned model may rank the output trajectories and send information about the ranked output trajectories to a vehicle computing device for consideration during vehicle planning including simulation.


    Access

    Download


    Export, share and cite



    Title :

    Object trajectory determination


    Contributors:

    Publication date :

    2024-08-20


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    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 / G06V




    Object trajectory forecasting

    IVANOVIC BORIS / LIN YIFENG / SHRIVASTAVA SHUBHAM et al. | European Patent Office | 2024

    Free access

    OBJECT TRAJECTORY FORECASTING

    IVANOVIC BORIS / LIN YIFENG / SHRIVASTAVA SHUBHAM et al. | European Patent Office | 2023

    Free access

    Multi-object trajectory tracking

    Han, M. / Xu, W. / Tao, H. et al. | British Library Online Contents | 2007


    VEHICLE TRAJECTORY DETERMINATION

    CALDWELL TIMOTHY / HUDECEK JANEK / LAURENSE VINCENT ANDREAS et al. | European Patent Office | 2025

    Free access