Impact of Bayesian Learning on Spacecraft Collision Risk Analysis

29 September 2022, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

As the threat of space debris grows larger, it is becoming increasingly important to develop methods to conduct spacecraft collision risk analysis, and subsequently automate spacecraft collision avoidance. To contribute towards this goal, I explored and tried to identify the most ideal method to conduct spacecraft risk analysis. In this paper, I present the result of this research, and showcase the importance of utilising Bayesian Machine Learning. A machine learning model using Bayesian Machine Learning has been trained and tested, and the results displayed.

Keywords

Artificial Intelligence
Computer Science
Satellite Collision
Bayesian Learning
Machine Learning

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