This research examines the application of using a scanning Light Detection and Ranging(LiDAR) to perform Automated Aerial Refueling(AAR). Speci cally this thesis presents two algorithms to determine the relative position between the tanker and receiver aircraft. These two algorithms require a model of the tanker aircraft and the relative attitude between the aircraft. The rst algorithm ts the measurements to the model of the aircraft using a modi ed Iterative Closest Point (ICP) algorithm. The second algorithm uses the model to predict LiDAR scans and compare them to actual measurements while perturbing the estimated location of the tanker. Each algorithm was tested with simulated LiDAR data before real data became available from test ights. The data collected from this test ight was used to determine the accuracy of the two algorithms with real LiDAR data. After correcting for modeling errors the accuracy of each algorithm is about a Mean Radial Spherical Error of 40cm.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Automated Aerial Refueling Position Estimation Using a Scanning LiDAR


    Contributors:
    I. J. Curro (author)

    Publication date :

    2012


    Size :

    114 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Automated Aerial Refueling Position Estimation Using a Scanning LiDAR

    Curro, J. / Raquet, J. / Pestak, T. et al. | British Library Conference Proceedings | 2013



    TEMPORALLY CONSISTENT POSITION ESTIMATION REFINEMENT FOR AERIAL REFUELING

    NGUYEN LEON NHAT / SMITH HADEN HARRISON / HUNG FAN HIN et al. | European Patent Office | 2023

    Free access

    Temporally consistent position estimation refinement for aerial refueling

    NGUYEN LEON NHAT / SMITH HADEN HARRISON / HUNG FAN HIN et al. | European Patent Office | 2024

    Free access

    Temporally consistent position estimation refinement for aerial refueling

    NGUYEN LEON NHAT / SMITH HADEN HARRISON / HUNG FAN HIN et al. | European Patent Office | 2023

    Free access