Project
SHIRT: Satellite Hardware-In-the-loop Rendezvous Trajectories Dataset
Deploying deep learning models into space missions is difficult due to the scarcity of real-life data from space. Particularly in spaceborne computer vision applications, while training can rely on synthetic data from computer renderers, the validation of the trained neural networks remains a big challenge. Our SPEED+ dataset addressed this challenge by introducing Hardware-In-the-Loop (HIL) images ...
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