Dynamic-spacecraft pose estimation dataset (D-SPEED)

D-SPEED is a synthetic dataset designed for deep learning-based relative pose estimation of non-cooperative spacecraft, from both still images and video. It extends prior datasets (SPEED, SPEED+) by introducing temporally coherent video sequences, detailed motion metadata, and high-resolution rendering using Unreal Engine 5.

Mots clés

• Satellites
• Pose Estimation
• Computer Vision
• Machine Learning
• Spacecraft
• Deep learning
• Temporal