The purpose of this research is to develop a method of tracking manned aircraft operating in the vicinity of Unmanned Aerial Vehicles’ flight paths. Using ADS-B and other sources, identified aircraft are classified and characterized as potential threats or a non-threats based on their altitudes, locations, and projected trajectories. The flight history and projected trajectory of each ADS-B equipped aircraft being tracked is visualized in real time. Flight trajectories are calculated using a deterministic algorithm.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Visualization and Prediction of Aircraft trajectory using ADS-B


    Contributors:


    Publication date :

    2018-07-01


    Size :

    868883 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Trajectory Prediction for Light Aircraft

    Maeder, U | Online Contents | 2011


    Aircraft Climb Trajectory Prediction Using Neural Network

    Chen, Ming Qiang | Trans Tech Publications | 2013


    Adaptive Aircraft Trajectory Prediction using Particle Filters

    Lymperopoulos, I. / Lygeros, J. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2008


    Adaptive Aircraft Trajectory Prediction using Particle Filters

    Lymperopoulos, Ioannis / Lygeros, John | AIAA | 2008


    Trajectory Prediction for Light Aircraft

    Maeder, Urban / Morari, Manfred / Baumgartner, Thomas Ivar | AIAA | 2011