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    <identifier>10.11922/sciencedb.00696</identifier>
    <datestamp>2023-11-17T10:09:21Z</datestamp>
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  <dc:date>2023-11-17</dc:date>
  <dc:title>Trajectory Trail encompasing variant shapes (circule, triangle, etc.)</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.00696</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset entails diverse real-world trajectories accompanied by flight telemetry. Data was gathered using a DJI Phanthom 3 drone on a football field and an open playfield. A circular and oval trajectory is generated on the open playfield while we generate a square and a triangular trajectory on the football field. Each trajectory is accompanied by its ground-truth data such as orientation, speed, coordinates, wind condition, and much other relevant information. Specifically, this dataset was used in the training of a DJI Tello drone to mimic the trajectories trained on and extend the learned knowledge to similar trajectories during autonomous flight tests.The data provided can be used in other similar instances where authors, scientists, and other robotic enthusiasts want to train an unmanned aerial vehicle to fly some specific trajectory.</dc:description>
  <dc:subject>MAV; Drone; Track; Autonomous</dc:subject>
  <dc:creator>Isaac Osei Agyemang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/https://doi.org/10.1016/j.engappai.2022.105468</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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