Image Recognition Technique for Unmanned Aerial Vehicles
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
SETh system spatio-temporal object tracking using combined color and motion features
ROCOM'09 Proceedings of the 9th WSEAS international conference on Robotics, control and manufacturing technology
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We present the prototype of unmanned aerial vehicle (UAV) as a platform for multispectral acquisition. We are connecting the real-world simulation environment and control software to perform flight tests in SIL simulation. The full control system is based on the cascade of PI controllers with Anti-Windup mechanism, which stabilize the aircraft in the virtual reality. Stabilization of angular speed reduces problems connected with video disruptions. In this article we are presenting all implemented autonomous algorithms, which are based on ENU coordinate system (commonly used in aviation). Simulations are performed in Prepar3D® from Lockheed Martin which also allows to perform visual and thermal images processing. The prototype successfully completed all the test flights and is ready for various applications.