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Interval-Based Celestial Geolocation Using a Camera Array

机译:使用摄像机阵列的基于间隔的天体地理定位

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To replicate classical celestial navigation algorithms with modern technologies, a hemispherical camera array is used to capture panoramic images of the sun for the purpose of obtaining azimuth and zenith angles. A novel geolocation algorithm is presented to use these angles to determine the absolute location without aid of satellites. It derives both the geolocation estimates and the error intervals based on measurement noise levels. Hough Transform, charge-coupled device blooming, and interval analysis are employed to improve accuracy even with lower quality sensors. The proofs of our theoretical results based on an interval analysis handle arbitrary celestial references. Calibration of and geolocation from our experimental prototype demonstrates the feasibility and potential of our system. We obtain geolocation to within a rectangular area of 0.533 km km using an array of inexpensive cameras with pixels resolution. Our simulation result shows that the improvement of sensor precision with technology already available can reduce the area of uncertainty to less than .
机译:为了用现代技术复制经典的天体导航算法,半球摄像机阵列用于捕获太阳的全景图像,以获取方位角和天顶角。提出了一种新颖的地理定位算法,可以使用这些角度来确定绝对位置,而无需借助卫星。它基于测量噪声级别导出地理位置估计值和错误间隔。即使采用较低质量的传感器,也可以采用霍夫变换(Hough Transform),电荷耦合器件起霜和间隔分析来提高精度。我们基于区间分析的理论结果证明可以处理任意天体参考。实验原型的校准和地理位置证明了我们系统的可行性和潜力。我们使用具有像素分辨率的廉价摄像头阵列,将地理位置定位到0.533 km km的矩形区域内。我们的仿真结果表明,利用现有技术提高传感器精度可以将不确定性区域减小到小于。

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