A Machine Learning Based Solution for Space Situational Awareness and Space Sustainability

Currently, space situational awareness (SSA) highly depends on ground-based capabilities limiting the accuracy of tracking objects to 10cm. This project will explore possible technological demonstration that utilizes International Space Station/ CubeSat payload for SSA alongside its efficiency and need for long-term space sustainability. The capability shall be achieved through machine learning as a part of the onboard computer.


Project Leader:
Professor Allison Kealy, Royal Melbourne Institute of Technology (RMIT)

PhD Student:
Sai Vallapureddy, Royal Melbourne Institute of Technology (RMIT)