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In this paper we propose an algorithm to maximize the information about a monitored target object for controlling multiple autonomous Unmanned Aerial Vehicles (UAVs). Our scheme does not require manual operation of UAVs and they can determine their movement solely based on the algorithm. We use the number of feature points of the target object and multiple UAVs alternatingly move until they converge...
Unmanned Aerial Vehicles (UAVs) are flying objects which can be controlled either manually or by autonomous control software. We have designed and implemented a system called SQCUAIR for controlling the suitable wireless communication distance between two UAVs and evaluated the basic performance using AR. Drones. SQCUAIR is assumed to be utilized when we control the distance between two UAVs. This...
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