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Optical Flow Techniques for Wind-Velocity Sensing on a Small Unmanned Aircraft System

机译:小型无人机系统上用于风速传感的光流技术

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Optical correlation techniques for wind velocity sensing have the potential to improve vertical wind velocity measurements from fixed wing sUAS an order of magnitude, from tens of cm/s to one cm/s. This is due to the insensitivity of optical correlation to the relatively large forward velocity component of the oncoming flow. This reduces the precision requirements of the measurement. Using optical flow techniques on sUAS does offer unique challenges, however. The structures in the fllow deform over time, making it impossible to find exact matches of common shapes between image pairs. This deformation must be small enough that the correlation is still able to match the rough shape of a structure from one image to the next. A second challenge is the dilation of images, as structures will appear to grow in size from one image to the next. Accounting for this is easily done using basic geometry.
机译:用于风速传感的光学相关技术有潜力将固定机翼sUAS的垂直风速测量值提高一个数量级,从几十厘米/秒到一厘米/秒。这是由于光学相关性对即将到来的流的相对较大的正向速度分量不敏感。这降低了测量的精度要求。但是,在sUAS上使用光流技术确实带来了独特的挑战。绒毛中的结构会随着时间而变形,从而无法找到图像对之间常见形状的精确匹配。此变形必须足够小,以使相关仍然能够匹配从一个图像到下一个图像的结构的粗略形状。第二个挑战是图像的膨胀,因为结构的大小似乎会从一个图像扩展到下一个图像。使用基本几何图形可以轻松解决这一问题。

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