Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2, 55-59, 2013
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W2/55/2013/
doi:10.5194/isprsarchives-XL-1-W2-55-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
16 Aug 2013
IMPLEMENTATION AND TESTING OF LOW COST UAV PLATFORM FOR ORTHOPHOTO IMAGING
D. Brucas1, J. Suziedelyte-Visockiene2, U. Ragauskas3, E. Berteska1, and D. Rudinskas2 1Space Science and Technology Institute, Sauletekio av. 15, 10224 Vilnius, Lithuania
2Antanas Gustaitis Aviation Institute, Vilnius Gediminas Technical University, Suletekio av. 11, 10223 Vilnius, Lithuania
3Jonas Zemaitis Military Academy, Silo st. 5, 10322 Vilnius, Lithuania
Keywords: Autopilot, Automated flight, Orthophoto imaging, Telemetry Abstract. Implementation of Unmanned Aerial Vehicles for civilian applications is rapidly increasing. Technologies which were expensive and available only for military use have recently spread on civilian market. There is a vast number of low cost open source components and systems for implementation on UAVs available. Using of low cost hobby and open source components ensures considerable decrease of UAV price, though in some cases compromising its reliability.

In Space Science and Technology Institute (SSTI) in collaboration with Vilnius Gediminas Technical University (VGTU) researches have been performed in field of constructing and implementation of small UAVs composed of low cost open source components (and own developments). Most obvious and simple implementation of such UAVs – orthophoto imaging with data download and processing after the flight.

The construction, implementation of UAVs, flight experience, data processing and data implementation will be further covered in the paper and presentation.

Conference paper (PDF, 856 KB)


Citation: Brucas, D., Suziedelyte-Visockiene, J., Ragauskas, U., Berteska, E., and Rudinskas, D.: IMPLEMENTATION AND TESTING OF LOW COST UAV PLATFORM FOR ORTHOPHOTO IMAGING, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2, 55-59, doi:10.5194/isprsarchives-XL-1-W2-55-2013, 2013.

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