Systems and methods for optimizing a planning model for autonomous driving. Image data is generated from a vehicle camera. A perception model detects agents in the environment based on the image data. A planner model is executed to generate a predicted trajectory of the vehicle based upon configuration parameters associated with characteristics of the vehicle. Information regarding a context associated with the detected agents is received from the perception model. An optimizer is configured to select a subset of the configuration parameters to be optimized based on the context, select an objective function based on the context, adjust the selected subset of configuration parameters based on a current value of the objective function, generate a new planned trajectory, derive a value of the objective function, and determine optimal configuration parameters that minimize the objective function.


    Access

    Download


    Export, share and cite



    Title :

    CONTEXT AWARE OPTIMIZATION OF PLANNER FOR AUTONOMOUS DRIVING


    Contributors:

    Publication date :

    2025-05-15


    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 / G06V



    NMPC trajectory planner for urban autonomous driving

    Micheli, F. / Bersani, M. / Arrigoni, S. et al. | Taylor & Francis Verlag | 2023

    Free access

    LLM-BASED HYBRID PLANNER FOR AUTONOMOUS DRIVING

    CHANDRAKER MANMOHAN / PITTALUGA FRANCESCO / GOPALKRISHNA VIJAY KUMAR BAIKAMPADY et al. | European Patent Office | 2025

    Free access

    LLM-BASED HYBRID PLANNER FOR AUTONOMOUS DRIVING

    CHANDRAKER MANMOHAN / PITTALUGA FRANCESCO / GOPALKRISHNA VIJAY KUMAR BAIKAMPADY et al. | European Patent Office | 2025

    Free access

    Occupancy Prediction-Guided Neural Planner for Autonomous Driving

    Liu, Haochen / Huang, Zhiyu / Lv, Chen | IEEE | 2023


    LEARNING-BASED SPEED PLANNER FOR AUTONOMOUS DRIVING VEHICLE

    ZHANG LIANGLIANG / LI DONG / HU JIANGTAO et al. | European Patent Office | 2019

    Free access