Autonomous operations are a crucial aspect in the context of Advanced Air Mobility and other emerging aviation markets. In order to enable this autonomy, an accurate and detailed understanding of the positions of the various vehicles in the air is necessary. Full localization independent of on-board sensors makes the system suitable for noncooperative vehicles. This paper focuses on the object tracking part that relies on distributed ground-based sensor fusion, considering specific properties and limitations of different sensor types. Results show satisfactory performance in nominal scenarios with full coverage. Dropouts of individual sensors affect the accuracy of the tracking results, which agrees with expectations for partial coverage, when full localization is not achievable anymore. Finally, a study is performed to identify which parameters have the largest impact on the fit error.


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    Titel :

    Distributed Ground Sensor Fusion Based Object Tracking for Autonomous Advanced Air Mobility Operations


    Beteiligte:
    Thomas Lombaerts (Autor:in) / Keerthana Kannan (Autor:in) / Evan Kawamura (Autor:in) / Chester Dolph (Autor:in) / Vahram Stepanyan (Autor:in) / George Gorospe (Autor:in) / Corey Ippolito (Autor:in)

    Kongress:

    AIAA SciTech Forum and Exposition ; 2023 ; National Harbor, MD, US


    Erscheinungsdatum :

    2023-01-23


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




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