Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing

Author:

Jawaid Mohsi1,Elms Ethan1,Latif Yasir1,Chin Tat-Jun1

Affiliation:

1. Australian Institute for Machine Learning (AIML),Sentient Satellites Laboratory (SSL),Adelaide,Australia

Funder

Northrop Grumman

Publisher

IEEE

Reference57 articles.

1. SPEED+: Next-generation dataset for spacecraft pose estimation across domain gap;park;ArXiv Preprint,2021

2. The OpenCV Library;bradski;Dr Dobb's Journal of Software Tools,2000

3. VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation

4. A flexible new technique for camera calibration

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. SPADES: A Realistic Spacecraft Pose Estimation Dataset using Event Sensing;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. JSTR: Joint Spatio-Temporal Reasoning for Event-based Moving Object Detection;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Transformer Network-Aided Relative Pose Estimation for Non-cooperative Spacecraft Using Vision Sensor;International Journal of Aeronautical and Space Sciences;2024-03-17

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