Abstract
In recent years, with the continuous exposure of unmanned aerial vehicles in the local battlefield, as well as the rapid development of UAV technology, UAV’s military application values, especially the advantages in the low-altitude reconnaissance have been the world’s attention. Unmanned reconnaissance aircraft is becoming very promising new equipment in technology battlefield and an important information combat front. However, most of the current UAV controlling systems only provide manually PTZ controlling functions, which is inconvenient for the user to control the sensor to monitor targets on demand. This paper propose a new UAV PTZ controlling system, which enables user to keep target in the view filed by simply selecting a position from the digital map. The proposed system is also able to do real-time target localization for any pixel of the video. Experimental results show that our system is easy for PTZ controlling and the localization error is small.
Highlights
Unmanned Aerial Vehicle (UAV) [1,2], as new modern military equipment, with its unique advantage, is fully compatible with the modern war concepts of "no contact" and "zero casualties"
This paper proposes a real-time target localization method based on UAV's video, which is able to calculate the localization of every pixel in the image on the fly
Calculate the rotation of UAV in geocentric system which denotes as Rlon and Rα, where Rα=R(,),α0=T(αlon, αlat, αalt-100), α1=T(αlon, αlat, αalt) and function T transform longitude, latitude and height to geocentric coordinates; 4
Summary
Unmanned Aerial Vehicle (UAV) [1,2], as new modern military equipment, with its unique advantage, is fully compatible with the modern war concepts of "no contact" and "zero casualties". It's inconvenient for the user to control the sensor to monitor multiple targets on demand. The localization technology based on UAV video images mainly focus on how to match the image between real-time images and the reference images [7,8,9,10], such as satellite images. If the view field optical sensor contains a limited number of landmarks, the matching performance on the images cannot be guaranteed, and the algorithm will fail. The algorithm performs image matching is complex and time-consuming, which is not able to do real-time localization [13,14].
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