Machine Learning in Orbit Estimation: a Survey

arXiv:2207.08993v4 Announce Type: replace-cross
Abstract: Since the late 1950s, when the first artificial satellite was launched, the number of Resident Space Objects has steadily increased. It is estimated that around one million objects larger than one cm are currently orbiting the Earth, with only thirty thousand larger than ten cm being tracked. To avert a chain reaction of collisions, known as Kessler Syndrome, it is essential to accurately track and predict debris and satellites' orbits. Current approximate physics-based methods have …

abstract artificial arxiv astro-ph.ep cs.lg earth in orbit machine machine learning objects satellite space survey type