A National Aeronautics and Space Administration (NASA) project developing computer vision algorithms for autonomous flight is producing real-world datasets with cameras mounted on aircraft. In related domains, such as autonomous driving, open datasets are key to innovation and advancement in computer vision and autonomous perception for future Advanced Air Mobility (AAM) operations. Few vision datasets, however, are publicly available in the aviation context. This paper introduces preliminary datasets containing several examples of approach and landing scenarios. The platform aircraft include a multirotor small unmanned aerial system (sUAS) and a crewed helicopter as surrogates for future electric vertical take-off and landing (eVTOL) aircraft. The dataset provides video imagery with associated inertial navigation system-global positioning system (INS-GPS) position and attitude estimates and other sensors. Surveyed locations of the visual features of the landing area are included. This dataset is the first to be released in an ongoing effort to collect and share large, diverse datasets relevant to autonomous aviation; community critique that can inform and improve future flight campaigns is welcome.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Visual and Inertial Datasets for an eVTOL Aircraft Approach and Landing Scenario


    Contributors:

    Conference:

    AIAA SciTech Forum ; 2024 ; Orlando, FL, US


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




    Visual & Inertial Datasets for an eVTOL Aircraft Approach and Landing Scenario

    Brown, Nelson / Kawamura, Evan / Bard, Luke et al. | AIAA | 2024


    Visual and Inertial Datasets for an eVTOL Aircraft Approach and Landing Scenario

    Nelson Brown / Evan Kawamura / Luke Bard et al. | NTRS


    EVTOL AIRCRAFT

    ROSEN CHEN | European Patent Office | 2021

    Free access

    Landing Framework and Control for EVTOL Aircraft in Urban Environments

    Meyer-Oehme, Taizo / Ginnell, Kilian / Lampl, David E. et al. | AIAA | 2023


    EVTOL AIRCRAFT

    NEWMAN GLEN | European Patent Office | 2023

    Free access