Robust Centroid Estimation Method with the Rough and Refined Estimation for Interplanetary Optical Navigation

Robust Centroid Estimation Method with the Rough and Refined Estimation for Interplanetary Optical Navigation

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As the interest in probing deep space increases, it is necessary amina muaddi scarpe trasparenti to enhance the autonomous navigation capabilities of the spacecraft.Since traditional navigation methods rely on ground-based radiometric tracking, the vehicle has a significant communication delay resulting in no ability to handle unexpected situations on time.Image-based optical navigation allows interplanetary spacecraft to determine their orbits autonomously.

This paper explores how to accurately extract optical observations from the original images to perform autonomous navigation.First, we introduce a hellfire sloe gin simple and efficient idea to locate valuable contours of the celestial body based on gradient variations.Then, we establish a rough estimation with RANSAC to remove the outliers around the edges.

Next, we propose a refined estimation based on the hybrid genetic algorithm to precisely estimate the navigation observations.Lastly, numerous experiments have confirmed that our method achieves outstanding accuracy and robustness.