Comparison between Google Earth kml data and RTK data on a flight planning simulated to the Unmanned Aerial Vehicle Microdrone MD4-1000

Comparison between Google Earth kml data and RTK data on a flight planning simulated to the Unmanned Aerial Vehicle Microdrone MD4-1000
Antoninho João Pegoraro1, Marcelo Costa Napoleão2, Jürgen Wilhelm Philips3

1.University of Santa Catarina - Campus Universitário Reitor João David Ferreira Lima,Trindade - Florianópolis - Santa Catarina – Brasil (ajpegoraro@gmail.com)
2. University of Santa Catarina, University of Santa Catarina - Campus Universitário Reitor João David Ferreira Lima,Trindade - Florianópolis - Santa Catarina – Brasil (marcnapol@gmail.com)
3. University of Santa Catarina, University of Santa Catarina - Campus Universitário Reitor João David Ferreira Lima,Trindade - Florianópolis - Santa Catarina – Brasil (juergen.philips@gmail.com)

Abstract: The unmanned aerial vehicles (UAVs) and the use of graphical data files, of extension kml, have become popular nowadays. The kml files are associated to the Google Earth applications. Developed by Microdrone company for planning, overflight simulation and data flight analysis, the program mdCockpit was used in this experiment. The UAV Microdrone’s flight path was programmed in two ways: using georeferenced images from Google Earth and entering points coordinates into the program. These points have had their geographical decimal coordinates collected by GPS (RTK) method. The aim here is to describe a way of evaluating the difference between the alternatives of flight planning. A flight path, defined a route with 22 points, was also simulated in the program mdCockpit. The points were collected and saved, while the images captured by the program went automatically forming a georeferenced mosaic. A comparison between the difference of coordinates to each point was made by choosing on the images and also by a RTK positioning. The result was up to 14.20 m to a 100 meters flight height. There is a significant change of position and this can result in unwanted over flights in locations or even jeopardizing the safety of air activity.

Keywords: simulation flight path, md4-1000, kml data, RTK data

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