Systems and methods for a vision-based machine learning model for aggregation of static objects and systems for autonomous driving. An example method includes obtaining images from image sensors positioned about a vehicle. Features associated with the images are determined, with the features being output based on a forward pass through a machine learning model. The features are projected into a vector space associated with a birds-eye view based on the machine learning model. The projected features are aggregated with other projected features associated with prior images. Images depicting static objects in the birds-eye view are output.


    Access

    Download


    Export, share and cite



    Title :

    VISION-BASED MACHINE LEARNING MODEL FOR AGGREGATION OF STATIC OBJECTS AND SYSTEMS FOR AUTONOMOUS DRIVING


    Contributors:
    CARVALHO MICAEL (author) / EMMONS JOHN (author) / CHO PATRICK (author) / EMI BRADLEY (author) / JAIN SAACHI (author) / DESAI NISHANT (author) / DUAN TONY (author)

    Publication date :

    2023-02-23


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06V / 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



    Implications of Crashes Involving Roadway Objects for Machine Vision-Based Driving Systems

    Li, Yingfeng (Eric) / Hao, Haiyan / Gibbons, Ronald B. et al. | Transportation Research Record | 2020



    - - VISION-BASED SAMPLE-EFFICIENT REINFORCEMENT LEARNING FRAMEWORK FOR AUTONOMOUS DRIVING

    CHIANG SU HUI / LIU MING CHANG | European Patent Office | 2019

    Free access


    VISION-BASED SAMPLE-EFFICIENT REINFORCEMENT LEARNING FRAMEWORK FOR AUTONOMOUS DRIVING

    CHIANG SU-HUI / LIU MING-CHANG | European Patent Office | 2019

    Free access