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Found 5 papers, 2 papers with code
On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and Landing
We anticipate that novel event-based vision datasets can be generated using this pipeline to support various spacecraft pose reconstruction problems given events as input, and we hope that the proposed methodology would attract the attention of researchers working at the intersection of neuromorphic vision and guidance navigation and control.
Deep Learning of Dynamical System Parameters from Return Maps as Images
We present a novel approach to system identification (SI) using deep learning techniques.
Optimality Principles in Spacecraft Neural Guidance and Control
Spacecraft and drones aimed at exploring our solar system are designed to operate in conditions where the smart use of onboard resources is vital to the success or failure of the mission.
Neuromorphic Computing and Sensing in Space
The term ``neuromorphic'' refers to systems that are closely resembling the architecture and/or the dynamics of biological neural networks.
The Fellowship of the Dyson Ring: ACT&Friends' Results and Methods for GTOC 11
Dyson spheres are hypothetical megastructures encircling stars in order to harvest most of their energy output.
