Making space safer with neuromorphic cameras
An introduction to using neuromorphic cameras to perform space imaging
Making space safer with neuromorphic cameras
Space clutter has become an increasing problem for both satellite and manned space missions, with the likelihood and incidents of collisions continually increasing. This has created an immediate need for better means of detecting and tracking objects in space.
At Western Sydney University, we have been working with dynamic vision sensors and neuromorphic algorithms to build novel systems for terrestrial and orbital space imaging applications. Through telescope field trials with both the ATIS and DAVIS cameras, we have demonstrated the ability to detect LEO and GEO satellites during both day time and night time observations using an identical optical telescope configuration. Additionally, we have also demonstrated exciting capabilities in daytime star tracking, high-speed object detection, and for use in high-speed and dynamic adaptive optics.
Space Debris Video provided courtesy of Dr. Stuart Grey (stugrey.com).
Gregory Cohen
Associate Professor of Neuromorphic Systems
A neuromorphic researcher focusing on event-based vision systems, neuromorphic computation, and space domain awareness.