Advanced Air Mobility (AAM) aircraft have many challenges for landing accurately and safely in urban, suburban, and rural environments. Localization in large and open rural environments could utilize GPS, but AAM aircraft in urban environments will encounter GPS degradation. Another challenge involves flight operation time, i.e., flying during the day or at night. There are different types of guidelines and landmarks at runways, heliports, and vertiports for daytime and nighttime applications. Tailoring feature detection methods for AAM approach and landing during the day and night pose different issues and challenges. It is easier to detect edges, lines, and other runway markers during the day than at night. Conversely, it is easier to detect landing light configurations and patterns at nighttime than daytime. Consequently, utilizing the same feature detector for daytime and nighttime operations may not be feasible. This paper focuses on vision-based precision approach and landing (PAL) and builds on previous work by comparing ORB SLAM, custom VSLAM, and coplanar pose from orthography and scaling with iterations (POSIT) for daytime and nighttime operations. Implementing high fidelity simulations with computer graphics and extracting video frames from flight test data provide promising results for AAM PAL applications.


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    Titel :

    VSLAM and Coplanar POSIT for Advanced Air Mobility Approach and Landing


    Beteiligte:

    Kongress:

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


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :


    VSLAM and Vision-Based Approach and Landing for Advanced Air Mobility

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    VSLAM and Vision-based Approach and Landing for Advanced Air Mobility

    Kawamura, Evan / Dolph, Chester / Kannan, Keerthana et al. | AIAA | 2023


    VSLAM and Vision-based Approach and Landing for Advanced Air Mobility

    Evan Kawamura / Chester Dolph / Keerthana Kannan et al. | NTRS


    VSLAM and Vision-based Approach and Landing for Advanced Air Mobility

    Evan Kawamura / Chester Dolph / Keerthana Kannan et al. | NTRS


    Systems and methods for VSLAM optimization

    EADE ETHAN / MUNICH MARIO E / FONG PHILIP | Europäisches Patentamt | 2017

    Freier Zugriff