Provided are methods, systems, and computer program products for inferring and using vehicle trajectory standards. An example method may include: obtaining a training dataset associated with an autonomous vehicle action, the training dataset comprising trajectory data for a plurality of examples of the autonomous vehicle action and labels for each of the plurality of examples; generating a decision tree based on the trajectory data and the labels of the training dataset; determining a vehicle trajectory standard based on the decision tree; and communicating the vehicle trajectory standard to at least one autonomous vehicle, wherein the at least one autonomous vehicle uses the vehicle trajectory standard to select a vehicle trajectory for the at least one autonomous vehicle.


    Access

    Download


    Export, share and cite



    Title :

    INFERRING AUTONOMOUS DRIVING RULES FROM DATA



    Publication date :

    2023-12-07


    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



    Inferring autonomous driving rules from data

    CALIN BELTA / CRISTHIAN GUILLERMO LIZARAZO JIMENEZ / ANNE COLLIN et al. | European Patent Office | 2024

    Free access

    INFERRING AUTONOMOUS DRIVING RULES FROM DATA

    BELTA CALIN / LIZARAZO JIMENEZ CRISTHIAN GUILLERMO / COLLIN ANNE et al. | European Patent Office | 2023

    Free access

    Inferring autonomous driving rules from data

    European Patent Office | 2023

    Free access

    Socially-Aware Autonomous Driving: Inferring Yielding Intentions for Safer Interactions

    Wang, Jing / Jin, Yan / Taghavifar, Hamid et al. | ArXiv | 2025

    Free access

    An Unsupervised Approach for Inferring Driver Behavior From Naturalistic Driving Data

    Bender, Asher / Agamennoni, Gabriel / Ward, James R. et al. | IEEE | 2015