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Monocular Vision System for Fixed Altitude Flight of Unmanned Aerial Vehicles

机译:无人机固定高度飞行的单目视觉系统

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摘要

The fastest and most economical method of acquiring terrain images is aerial photography. The use of unmanned aerial vehicles (UAVs) has been investigated for this task. However, UAVs present a range of challenges such as flight altitude maintenance. This paper reports a method that combines skyline detection with a stereo vision algorithm to enable the flight altitude of UAVs to be maintained. A monocular camera is mounted on the downside of the aircraft’s nose to collect continuous ground images, and the relative altitude is obtained via a stereo vision algorithm from the velocity of the UAV. Image detection is used to obtain terrain images, and to measure the relative altitude from the ground to the UAV. The UAV flight system can be set to fly at a fixed and relatively low altitude to obtain the same resolution of ground images. A forward-looking camera is mounted on the upside of the aircraft’s nose. In combination with the skyline detection algorithm, this helps the aircraft to maintain a stable flight pattern. Experimental results show that the proposed system enables UAVs to obtain terrain images at constant resolution, and to detect the relative altitude along the flight path.
机译:采集地形图像最快,最经济的方法是航拍。已经对无人驾驶飞行器(UAV)的使用进行了研究。但是,无人机面临一系列挑战,例如飞行高度维护。本文报告了一种将天际线检测与立体视觉算法相结合的方法,以保持无人机的飞行高度。单眼相机安装在飞机机头的下方,以收集连续的地面图像,相对立体高度是通过立体视觉算法从无人机的速度获得的。图像检测用于获取地形图像,并测量从地面到无人机的相对高度。可以将无人机飞行系统设置为在固定且相对较低的高度飞行,以获得相同分辨率的地面图像。前视摄像头安装在飞机机头的上方。结合天际线检测算法,这可以帮助飞机保持稳定的飞行模式。实验结果表明,该系统使无人机能够以恒定的分辨率获取地形图像,并能够检测沿飞行路径的相对高度。

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