A methodology is summarized for designing on-board state estimators in support of spacecraft exploration of small bodies such as asteroids and comets. This paper focuses on an estimation algorithm that incorporates two basic computer-vision measurement types: a landmark table (LMT) and a paired feature table (PFT). Several innovations are developed to incorporate these measurement types into the on-board state estimation algorithm. Simulations are provided to demonstrate the feasibility of the approach.
On-board vision-based spacecraft estimation algorithm for small body exploration
IEEE Transactions on Aerospace and Electronic Systems ; 44 , 1 ; 243-260
2008-01-01
2648349 byte
Article (Journal)
Electronic Resource
English
On-Board Vision-Based Spacecraft Estimation Algorithm for Small Body Exploration
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