Abstract:

Nowadays, countries spend great resources on research and development for the development of unmanned aircraft technologies. The most important problem faced in the efficient use of these systems is the ability to determine a low cost route plan that can observe the maximum number of targets. The unmanned aircraft rotation problem is considered as the integration of the multiple passenger seller and vehicle rotation problem in literature. Routing models can be developed by incorporating the vision capabilities of the sensors integrated into the rotating plan. In this study; in the rotating process of the Unmanned Air Vehicle, a linear model that takes into account the capabilities of the sensor vision and a two-step intuitive rotating algorithm are recommended. For the test of the proposed models, a generic scenario for the exploration and monitoring activity on the southern border line of Turkey has been developed. Test results show that the inclusion of sensor capabilities in the Unmanned Aircraft flight rotating models is effective in minimizing the flight route and that the two-step intuitive rotating algorithm can be effectively used in the Unmanned Aircraft rotating process.

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