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

P2.16s


Project Leaders: Professor Allison Kealy, RMIT

PhD Student: Sai Vallapureddy

Participants: Royal Melbourne Institute of Technology (RMIT)

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.