An image captured using a sensor on a vehicle is received and decomposed into a plurality of component images. Each component image of the plurality of component images is provided as a different input to a different layer of a plurality of layers of an artificial neural network to determine a result. The result of the artificial neural network is used to at least in part autonomously operate the vehicle.


    Access

    Download


    Export, share and cite



    Title :

    Data pipeline and deep learning system for autonomous driving


    Contributors:

    Publication date :

    2023-08-22


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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 / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G06V



    Data pipeline and deep learning system for autonomous driving

    UVAROV TIMOFEY / TRIPATHI BRIJESH / FAINSTAIN EVGENE | European Patent Office | 2025

    Free access

    DATA PIPELINE AND DEEP LEARNING SYSTEM FOR AUTONOMOUS DRIVING

    UVAROV TIMOFEY / TRIPATHI BRIJESH / FAINSTAIN EVGENE | European Patent Office | 2023

    Free access

    DATA PIPELINE FOR AUTONOMOUS DRIVING AND DEEP LEARNING SYSTEM

    TIMOFEY UVAROV / BRIJESH TRIPATHI / EVGENE FAINSTAIN | European Patent Office | 2024

    Free access

    Mastering the Data Pipeline for Autonomous Driving

    Moravek, Patrik / Abdelghani, Bassam | TIBKAT | 2021


    Mastering the Data Pipeline for Autonomous Driving

    Moravek, Patrik / Abdelghani, Bassam | Springer Verlag | 2021