Introducing our flagship product
Overview
The AiSat software framework utilises streamlined image data processing pipeline including orbital feature detection, keypoint estimation and convolutional neural networks to estimate the space target pose.
Existing peer-reviewed solutions have been validated using spacecraft datasets from real-world space missions and photorealistic orbital image simulator, as well as using ground-based orbital hardware testbed (TRL 4-5). The technology will be further developed to reach TRL 8 and aim for in-orbit flight demonstration in the 2024-2025 timeframe achieving TRL 9.
Key uses
The technology and its associated flight software systems can apply in relative spacecraft navigation for many orbital mission scenarios involving either cooperative or non-cooperative targets. It can work for varying mission phases too such as the rendezvous and/or docking phases, proximity GNC phase, or robotic grasping phase, etc.
Credit: STAR LAB
Credit: STAR LAB
Key benefits
Works with single-lens space camera
Works for short- and long- range (cm to 10s km)
10^-3 m or deg accuracy
90% size and 95% mass reduction
90% power saving
40% mission cost reduction