This paper dwells upon the use of remote-piloted vehicles in the airphotoshooting of different areas. There is a need to process images automatically, for example, by searching the overlapping areas for stitching of the images. Air monitoring by using images can make qualitative changes in monitoring of the terrain, help prevent late decisions due to insufficient information base or data collection for expert analysis.
In this context, it is highlighted that the positioning of remote-piloted vehicles plays vital role. Nowadays GNSS (Global Satellite Navigation System) and GPS (Global Positioning System) systems are widely used by using additional information from on-board system.
It is highlighted to make positioning of remote-piloted vehicle based on the analysis of the location of the ground objects and the previously developed model of the environment. For this purpose, it is necessary to develop method of airphotoshooting by using of on-board 4-processor vector calculator that provides processing of photographs.
This computational core also provides automatic flight in the absence of reception of GNSS data, being guided by the indications of the inertial block, which includes a combination of accelerometers and gyroscopes. To process data from sensors responsible for positioning, the iterative formula was used, so called, Kalman-Bucy coefficient.
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