Given a set of flight trajectories, can we classify the trajectories that do not follow a normal path? By identifying abnormal trajectories, further analysis can be done to determine the reasoning for these actions. Addressing these scenarios can bring possible solutions for holding and rerouting problems when its time to incorporate UAM in the airspace.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Cluster-Based Flight Trajectory Outlier Detection


    Beteiligte:
    M. Forney (Autor:in) / B. Sridhar (Autor:in) / K. Freeman (Autor:in)

    Erscheinungsdatum :

    2021


    Format / Umfang :

    13 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Cluster-Based Flight Trajectory Outlier Detection

    Mikol Forney / Banavar Sridhar / Kenneth Freeman | NTRS


    Vehicle Trajectory Outlier Detection for Road Safety

    AlShanbari, Hanan S. / Al-Qadi, Heba T. / Al-Hassani, Ashwaq M. et al. | Springer Verlag | 2021



    Method for Outlier Distinction via Vessel Representative Trajectory Extraction

    PARK JIN GWAN / JUNG MIN A / KIM YEON OK | Europäisches Patentamt | 2016

    Freier Zugriff