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Comparison between Google Earth KML Data and RTK Data on a Flight Planning Simulated to the Unmanned Aerial Vehicle Microdrone MD4-1000
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作者 Antoninho Joao Pegoraro Marcelo Costa Napoleao Jurgen Wilhelm Philips 《Journal of Earth Science and Engineering》 2012年第10期613-616,共4页
The UAVs (unmanned aerial vehicles) and the use of graphical data files of extension KML (keyhole markup language) have become popular nowadays. The KML files are associated to the Google Earth applications. Devel... The UAVs (unmanned aerial vehicles) and the use of graphical data files of extension KML (keyhole markup language) 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 geo referenced images from Google Earth and entering points coordinates into the program. These points have had their geographical decimal coordinates collected by GPS (global positioning system) (RTK (real time kinematic)) 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 differences 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 m 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. 展开更多
关键词 simulation of flight path MD4-1000 KML data RTK data.
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