Provided are systems and methods for a deep learning based beam control. Sensor data associated with the environment and the corresponding detected objects from a perception system are obtained. Object features and image features are extracted. The extracted object features and image features are fused into fused features. A beam control status is predicted according to the fused features, wherein the beam control status indicates a high beam illumination intensity or a low beam illumination intensity of a light emitting device.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Deep learning based beam control for autonomous vehicles


    Beteiligte:
    ZHOU LUBING (Autor:in) / MENG XIAOLI (Autor:in) / SHETTI KARAN RAJENDRA (Autor:in)

    Erscheinungsdatum :

    2023-07-18


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B60Q ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL , Anordnung von Signal- oder Beleuchtungsvorrichtungen, deren Einbau oder Halterung oder deren Schaltkreise bei Fahrzeugen allgemein / G06V



    Deep learning based beam control for autonomous vehicles

    LUBING ZHOU / XIAOLI MENG / KARAN RAJENDRA SHETTI | Europäisches Patentamt | 2023

    Freier Zugriff

    DEEP LEARNING BASED BEAM CONTROL FOR AUTONOMOUS VEHICLES

    ZHOU LUBING / MENG XIAOLI / SHETTI KARAN RAJENDRA | Europäisches Patentamt | 2023

    Freier Zugriff

    Deep Learning Based Beam Control for Autonomous Vehicles

    ZHOU LUBING / MENG XIAOLI / SHETTI KARAN RAJENDRA | Europäisches Patentamt | 2023

    Freier Zugriff

    Deep Learning & Autonomous Vehicles

    Seidl, R. | TIBKAT | 2018


    Deep Learning-based Localisation for Autonomous Vehicles

    Carrillo Mendoza, Ricardo | TIBKAT | 2021

    Freier Zugriff