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Completed TRL 5 (started at 5, targeting 5)
The development and democratization of computer vision algorithms are contingent on the availability of high-quality datasets. In this paper, we introduce a database of forward-facing videos from taxiing aircraft as well as the time-correlated flight data at approximately 1 to 10 Hz containing aircraft state data and environmental conditions. The video data is sourced from the National Aeronautics and Space Administration Airborne Science Program archive and includes over 33 hours of 4k, 1080p, and 720p video from twenty-two airports around the world.
See taxi_metadata_csv.csv for an index of the video segments with associated metadata.
This activity is in support of the Transformative Aeronautics Concepts Program (TACP) Transformational Tools & Technologies Project Revolutionary Aviation Mobility subproject.
We hope to inspire autonomous aviation advances by creating large, diverse, open datasets in an aviation context. The video and associated metadata are useful for computer vision research, especially in training and evaluation of machine learning algorithms.
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