A device may obtain, from one or more cameras, an image that depicts one or more encoded decals positioned on a body of a vehicle. The device may process the image and may identify, based on processing the image, one or more characteristics of the one or more encoded decals. The device may determine, based on the one or more characteristics of the one or more encoded decals, positioning information to be used to position a loading bridge relative to the body of the vehicle. The device may determine one or more control signals based on the positioning information. The device may provide the one or more control signals to one or more actuators to automatically position the loading bridge relative to the body of the vehicle. Va)a Co> wl -4U CuCD Cu


    Access

    Download


    Export, share and cite



    Title :

    AUTOMATED LOADING BRIDGE POSITIONING USING ENCODED DECALS


    Contributors:

    Publication date :

    2018-05-24


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B64F GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT , Boden- oder Flugzeugträgerdeckeinrichtungen besonders ausgebildet für die Verwendung in Verbindung mit Luftfahrzeugen



    Automated loading bridge positioning using encoded decals

    TRUSCOTT ANDREW J | European Patent Office | 2020

    Free access

    AUTOMATED LOADING BRIDGE POSITIONING USING ENCODED DECALS

    TRUSCOTT ANDREW J | European Patent Office | 2020

    Free access

    Water craft reflective side marker decals

    URFER RANDY | European Patent Office | 2016

    Free access

    Real‐time CVSA decals recognition system using deep convolutional neural network architectures

    Yépez, Juan / Castro‐Zunti, Riel / Choi, Younhee et al. | Wiley | 2021

    Free access

    Real‐time CVSA decals recognition system using deep convolutional neural network architectures

    Juan Yépez / Riel Castro‐Zunti / Younhee Choi et al. | DOAJ | 2021

    Free access