In this paper, we propose an effective wireless transmission technology, under poor wireless transmission channel surroundings caused by speedy flying, that are able to transmit high quality videorecording information and surveillance data via accessing to various wireless networking services architecture such as One-on-One, Many-on-One, One-on-Many, Over the Horizon. The Real-Time Position Analysis(RAPA) method is also suggested to provide more meaningful video information of shooting area. The suggested wireless transmission technology and RAPA can make remote control of UAV's flight route to get valuable topography information. Because of the benefit to get both of video information and GPS data of shooting area simultaneously, the result of study can be applied to various application sphere including UAV that requires high speed wireless transmission.
As the use of UAV (Unmanned Aerial Vehicle) such as drone has been increased recently, aerial video shooting technology and surveillance system began to attract global attention. The video surveillance system using an UAV requires high speed wireless transmission technology to obtain high resolution video images in real-time under poor on-air channel environment, accurate positioning trace technology to identify the actual position of the shooting area, and remote control technology for safe flight of an UAV. In this paper, solutions for two important technical issues that should be resolved and coupled in VSSU (Video Surveillance System using UAV) were suggested. One is a RTPA (Real-Time Position Analysis) method to estimate shooting location and area of an interesting zone. Another one is high-speed transmission method for wireless data-link to minimize distortion of valid images information even in poor wireless channel environment. The suggested high-speed transmission method provided same or higher transmission quality than existing wireless data-link transmission method, and more flexible data size to transmit both of mass video data and small control data. Also, the demanded performance of suggested methods was verified through simulation and actual realization. To analyze performance of the RTPA method, actual location and shooting area about shooting images were measured in three different locations by using Quad-copter. And then both location and shooting area of its predictability region were calculated based on GPS (Global Positioning System) information and camera status information by applying RTPA method. The result of this study can be applied to various surveillance applications.
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