Star Tracking using an Event Camera

arXiv (Cornell University)(2019)

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摘要
Star trackers are primarily optical devices that are used to estimate the attitude of a spacecraft by recognising and tracking star patterns. Currently, most star trackers use conventional optical sensors. In this application paper, we propose the usage of event sensors for star tracking. There are potentially two benefits of using event sensors for star tracking: lower power consumption and higher operating speeds. Our main contribution is to formulate an algorithmic pipeline for star tracking from event data that includes novel formulations of rotation averaging and bundle adjustment. In addition, we also release with this paper a dataset for star tracking using event cameras. With this work, we introduce the problem of star tracking using event cameras to the computer vision community, whose expertise in SLAM and geometric optimisation can be brought to bear on this commercially important application.
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关键词
geometric optimisation,SLAM,computer vision community,algorithmic pipeline,power consumption,star pattern recognition,star pattern tracking,spacecraft,optical sensor devices,attitude estimation,event sensors,event camera
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