{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T23:21:48Z","timestamp":1778196108006,"version":"3.51.4"},"reference-count":9,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2019,3,9]],"date-time":"2019-03-09T00:00:00Z","timestamp":1552089600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>This article describes the data acquired from multiple flights of a custom-built quadcopter. The Quadcopter was programmed to fly a pre-defined \u201cFigure-8\u201d flight path, at a constant altitude. The data set includes flights with a varying number of waypoints (10 and 15 waypoints in each lobe of the \u201cFigure-8\u201d) and at two different velocities (1.5 and 2.5 m\/s). The data also contains information on the output of the flight controller in terms of the Pulse Width Modulation (PWM) signals to each of the four Electronic Speed Controllers (ESC) driving the motors, the recorded outputs of the Inertial Measurement Unit (linear accelerations ax, ay, az and angular velocities p, q, r), GPS data (Latitude, Longitude, altitude, Horizontal Dilution of Precision (HDOP) and Vertical Dilution of Precision (VDOP). The data are included as Supplemental Material.<\/jats:p>","DOI":"10.3390\/data4010039","type":"journal-article","created":{"date-parts":[[2019,3,12]],"date-time":"2019-03-12T03:49:31Z","timestamp":1552362571000},"page":"39","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Autonomous \u201cFigure-8\u201d Flights of a Quadcopter: Experimental Datasets"],"prefix":"10.3390","volume":"4","author":[{"given":"Srikanth","family":"Gururajan","sequence":"first","affiliation":[{"name":"Aerospace Engineering, Parks College of Engineering, Aviation and Technology, Saint Louis University, St. Louis, MO 63103, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ye","family":"Bai","sequence":"additional","affiliation":[{"name":"Decentralized Finance Labs Inc, Palo Alto, CA 94301, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,9]]},"reference":[{"key":"ref_1","unstructured":"(2019, March 07). FAA sUAS Part 107: The Small UAS Rule, Available online: https:\/\/www.faa.gov\/uas\/media\/Part_107_Summary.pdf."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Sun, Z., and Zhang, Y. (2018). Using Drones and 3D Modeling to Survey Tibetan Architectural Heritage: A Case Study with the Multi-Door Stupa. Sustainability, 10.","DOI":"10.3390\/su10072259"},{"key":"ref_3","unstructured":"Molina, P., Colomina, I., Victoria, P., Skaloud, J., Kornus, W., Prades, R., and Aguilera, C. (2019, March 07). Drones to the Rescue! Inside GNSS; July\/August 2012. Available online: http:\/\/infoscience.epfl.ch\/record\/180464."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"C\u00e2mara, D. (2014, January 16\u201319). Cavalry to the rescue: Drones fleet to help rescuers operations over disasters scenarios. Proceedings of the 2014 IEEE Conference on Antenna Measurements & Applications (CAMA), Antibes Juan-les-Pins, France.","DOI":"10.1109\/CAMA.2014.7003421"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1080\/19475705.2016.1238852","article-title":"Multipurpose UAV for search and rescue operations in mountain avalanche events","volume":"8","author":"Silvagni","year":"2017","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_6","unstructured":"Bai, Y. (2017). Control and Simulation of Morphing Quadcopter. [Master\u2019s Thesis, Parks College of Engineering, Aviation and Technology, Saint Louis University]."},{"key":"ref_7","unstructured":"(2019, March 07). EKF2 Estimation System, Learning the ArduPilot Codebase. Available online: http:\/\/ardupilot.org\/dev\/docs\/ekf2-estimation-system.html."},{"key":"ref_8","unstructured":"(2019, March 07). Pixhawk 1 Flight Controller. Available online: https:\/\/docs.px4.io\/en\/flight_controller\/pixhawk.html#specifications."},{"key":"ref_9","unstructured":"AirCRAFT Laboratory Aircraft Computational & Resource Aware Fault Tolerance (AirCRAFT) Lab, Parks College of Engineering, Aviation and Technology, Saint Louis University. Available online: https:\/\/sites.google.com\/a\/slu.edu\/aircraft-lab\/."}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/4\/1\/39\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:37:34Z","timestamp":1760186254000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/4\/1\/39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,9]]},"references-count":9,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,3]]}},"alternative-id":["data4010039"],"URL":"https:\/\/doi.org\/10.3390\/data4010039","relation":{},"ISSN":["2306-5729"],"issn-type":[{"value":"2306-5729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,9]]}}}