Design of a Visual Pose Estimation Algorithm for Moon Landing

In order to make a pinpoint landing on the Moon, the spacecraft's navigation system must be accurate. To achieve the desired accuracy, navigational drift caused by the inertial sensors must be corrected. One way to correct this drift is to use absolute navigation solutions. In this study, a terrain absolute navigation method to estimate the spacecraft's position and attitude is proposed. This algorithm uses the position of the craters below the spacecraft for estimation. Craters seen by the camera onboard the spacecraft are detected and identified using a crater database known beforehand. In order to focus on estimation algorithms, image processing and crater matching steps are skipped. The accuracy of the algorithm and the effect of the crater number used for estimation are inspected by performing simulations.

Publication Details

Journal
arXiv (Cornell University)
Published
2025-02-20
Primary Topic
Spacecraft Dynamics and Control
Type
article
Field-Weighted Citation Impact
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article

Design of a Visual Pose Estimation Algorithm for Moon Landing

arXiv (Cornell University)
Spacecraft Dynamics and Control
article

Design of a Visual Pose Estimation Algorithm for Moon Landing

article en

Abstract

In order to make a pinpoint landing on the Moon, the spacecraft's navigation system must be accurate. To achieve the desired accuracy, navigational drift caused by the inertial sensors must be corrected. One way to correct this drift is to use absolute navigation solutions. In this study, a terrain absolute navigation method to estimate the spacecraft's position and attitude is proposed. This algorithm uses the position of the craters below the spacecraft for estimation. Craters seen by the camera onboard the spacecraft are detected and identified using a crater database known beforehand. In order to focus on estimation algorithms, image processing and crater matching steps are skipped. The accuracy of the algorithm and the effect of the crater number used for estimation are inspected by performing simulations.

arXiv (Cornell University)
Openalex Percentile: Top 37%
Spacecraft Dynamics and Control
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Design of a Visual Pose Estimation Algorithm for Moon Landing · arXiv (Cornell University) (2025) | TGRS Research Map | TGRS