The position and strength of wake vortices captured by LiDAR (Light Detection and Ranging) instruments are usually determined by conventional approaches such as the Radial Velocity (RV) method. Promising wake vortex detection results of LiDAR measurements using machine learning and operational drawbacks of the comparatively slow traditional processing methods motivate exploring the suitability of Artificial Neural Networks (ANNs) for quantitatively estimating the position and strength of aircraft wake vortices. The ANNs are trained by a unique data set of wake vortices generated by aircraft during final approach, which are labeled using the RV method. First comparisons reveal the potential of custom Convolutional Neural Networks in comparison to readily available resources as well as traditional LiDAR processing algorithms.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Characterizing aircraft wake vortex position and strength using LiDAR measurements processed with artificial neural networks


    Beteiligte:

    Erschienen in:

    Optics Express ; 30 , 8 ; 13197-13225


    Erscheinungsdatum :

    2022-04-05



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Characterizing Wake Vortices of Landing Aircraft Using Artificial Neural Networks and LiDAR Measurements

    Wartha, Niklas / Stephan, Anton / Holzäpfel, Frank N. et al. | AIAA | 2021


    Characterizing Wake Vortices of Landing Aircraft Using Artificial Neural Networks and LiDAR Measurements

    Wartha, Niklas Louis / Stephan, Anton / Holzäpfel, Frank et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021

    Freier Zugriff

    CHARACTERIZING WAKE VORTICES OF LANDING AIRCRAFT USING ARTIFICIAL NEURAL NETWORKS AND LIDAR MEASUREMENTS

    Wartha, Niklas / Stephan, Anton / Holzäpfel, Frank N. et al. | TIBKAT | 2021


    Wake Vortex Characterisation of Landing Aircraft using Artificial Neural Networks and LiDAR Measurements

    Wartha, Niklas Louis | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021

    Freier Zugriff

    Investigating Artificial Neural Networks for Detecting Aircraft Wake Vortices in Lidar Measurements

    Wartha, Niklas Louis / Stephan, Anton / Rotshteyn, Grigory et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022

    Freier Zugriff