Our pioneering work on the use of biology-inspired neuromorphic cameras for space imaging tasks, such space junk tracking, space domain awareness, and high-speed object tracking and detection
Investigating the use of event-based vision sensors for high-speed, low-cost adaptive optics for space imaging applications.
An introduction to the benefits of using biology-inspired neuromorphic sensors for tracking space junk and satellites to make space a safer place.
Event-based cameras break the relationship between data rate and frame size and frame rate. This is demonstrated through a simulation of an event-based camera filming a rocket launch (and landing).
A collection of datasets that we have generated for testing neuromorphic and deep learning problems.