DIOSSA: Deep Learning-based In-orbit Space Situational Awareness

Project description:

LMO in partnership with SnT (University of Luxembourg) is carrying out the Development of In-Orbit Servicing Space Situational Awarenesst. The Space Situational Awareness (SSA) payload autonomously derives the 6 Degrees of Freedom (DoF) pose estimation of a target space resident object under any illumination condition and is part of the spacecraft Guidance, Navigation and Control (GNC) system.  The objective of this project is the design, development, verification and qualification of the SSA payload for space application. 

  • Starting date: 01/11/2021
  • Duration: 16 months
  • Funding source: ESA
  • Researchers: Dr. Arunkumar Rathinam, Dr. Leo Pauly, Prof. Dr. Djamila Aouada (PI)  
  • Partners: LMO