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Unmanned Aerial Vehicles (UAVs), are air aircraft that can fly autonomously without human control or that can be controlled by a ground station. In parallel with the technological developments of the present day, it has been observed that the use of UAVs is also greatly increased. In this context, new working areas were needed together with the widespread use of UAVs. As a result of the researches, the autonomous control works was seen to become the foreground. Within the scope of this study, an autonomous landing system has been implemented for UAVs. The images taken with the help of the camera located at the bottom of the UAV are subjected to image processing techniques on the Linux based operating system to determine the landing track. In the scope of the study, the landing station detected is a circle with a "H" in the middle. The letter "H" on the landing station can be changed color according to the location. For example; the landing station can be red in football ground, can be blue in empty ground. Images taken from the camera are subject to the image processing technique. First of all, the image is removed from noises. Then, it is classified according to the “H” letter color on landing station. Pixels which are same with "H" letter are changed to white color, others changed to black color. So that, it is determined how many shaped has been found. The shapes are ordered according to their size and compared with the landing station. If the similarity rate is over 75%, the target is determined.Once the determination, the altitude of UAV will gradually decrease and the image acquisition and measurement process will be repeated until it reaches a desired position. After arriving at the desired position (Eg z<=20 cm), the UAV performs descent by stopping engines.

International Conference on Advanced Technologies, Computer Engineering and Science
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Çağrı Çiçekdemir H. UCGUN Uğur Yüzgeç M. KESLER