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Assessment of the accuracy of positioning unmanned aerial vehicles

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper discusses results of tests designed to determine the position stabilization accuracy of an Unmanned Aircraft System. The tests were carried out on a DJI S900 device featuring a A2 flight controller during basic flight operations. All the maneuvers were performed in the remote control mode with RC system, while the UAV's position was stabilized by its onboard systems. During all the tests, state-of-the-art surveying equipment was used to determine the position of the UAV. An analysis of the obtained measurement data has enabled the verification of the UAV positioning accuracy parameters specified by the manufacturer of the UAV. It has also allowed the assessment of onboard system indications in terms of their reliability in missions involving documentation photography, video shooting or professional photogrammetric documentation. The proposed set of tests, including the testing methodology, can successfully be applied in the future to inspect the operation of this type of equipment.
Wydawca
Rocznik
Strony
17--21
Opis fizyczny
Bibliogr. 15 poz., fot., tab., wykr.
Twórcy
  • AGH University of Science and Technology 30 Mickiewicza Ave., 30-059 Krakow, Poland
autor
  • AGH University of Science and Technology 30 Mickiewicza Ave., 30-059 Krakow, Poland
Bibliografia
  • [1] Gontarz A., Kosieliński S. (red.): Rynek dronów w Polsce 2015, Księga popytu i podaży, Fundacja „Instytut Mikromakro", Warszawa, 2015.
  • [2] Fahlstrom P. G., Gleason T. J.: Introduction to UAV Systems. John Wiley & Sons, 2012.
  • [3] Valavanis K. P., Kontitsis M.: A Historical Perspective on Unmanned Aerial Vehicles, Advances in Unmanned Aerial Vehicles, pp. 15-46, Springer, 2007.
  • [4] Garcia Carrillo L. R., Rondon E., Sanchez A., Dzul A., Lozano R.: Stabilization and Trajectory Tracking of a Quad-Rotor Using Vision. Journal of Intelligent & Robotic Systems, vol. 61, pp 103-118, 2011.
  • [5] Gageik N., Strohmeier M., Montenegro S.: An Autonomous UAV with an Optical Flow Sensor for Positioning and Navigation. International Journal of Advanced Robotic Systems, vol. 10, 2013.
  • [6] Kim J. H., Sukkarieh S., Wishart S.: Real-Time Navigation, Guidance, and Control of a UAV Using Low-Cost Sensors. Field and Service Robotics, vol. 24, pp 299-309, 2006.
  • [7] Wendel J., Meister O., Schlaile C., Trommereisenbach G. F.: An integrated GPS/MEMS-IMU navigation system for an autonomous helicopter. Aerospace Science and Technology, vol. 10, pp 527-533, 2006.
  • [8] Eisenbeiß H.: UAV Photogrammetry. Zurich. 2009.
  • [9] NATO Military Committee, Air Standarization Boar/Air Operations/Working Group/Joint Unmanned Air Vehicles Panel: NATO UAV Classification Guide, Brussels, 2011.
  • [10] Mancini F., Dubbini M., Gattelli M., Stecchi F., Fabbri S., Gabbianelli G.: Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments. Remote Sensing, vol. 5(12), pp 6880-6898, 2013.
  • [11] Berni J., Zarco-Tejada P. J., Suarez L., Fereres E.: Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle. Geoscience and Remote Sensing, vol. 47, pp 722 – 738, 2009.
  • [12] Spreading Wings S900. User Manual v.1.4. 2016.
  • [13] Zenmuse Z15. User Manual v.2.0, 2013.
  • [14] A2 Flight Control System. User Manual v. 1.24, 2016.
  • [15] Kurczyński Z.: Fotogrametria. PWN, Warszawa, 2014.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b3bc08bd-1b49-42e2-b086-c6321320da6b
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