Publications

Preprints

Journal Articles

Adaptive Neural-Network-Based Unscented Kalman Filter for Robust Pose Tracking of Noncooperative Spacecraft
Tae Ha Park, Simone D'Amico
Journal of Guidance, Control, and Dynamics (2023)
[arXiv] [link] [BibTeX]
Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap
Tae Ha Park, Simone D'Amico
Advances in Space Research (2023)
[arXiv] [link] [GitHub] [BibTeX]
Leveraging Neural Network Uncertainty in Adaptive Unscented Kalman Filter for Spacecraft Pose Estimation
Lorenzo Pasqualetto Cassinis, Tae Ha Park, Nathan Stacey, Simone D’Amico, Alessandra Menicucci, Eberhard Gill, Ingo Ahrns, Manuel Sanchez-Gestido
Advances in Space Research (2023)
[link] [BibTeX]
Satellite Pose Estimation Competition 2021: Results and Analyses
Tae Ha Park, Marcus Märtens, Mohsi Jawaid, Zi Wang, Bo Chen, Tat-Jun Chin, Dario Izzo, Simone D'Amico
Acta Astronautica (2023)
[link] [BibTeX]
Satellite Pose Estimation Challenge: Dataset, Competition Design, and Results
Mate Kisantal, Sumant Sharma, Tae Ha Park, Dario Izzo, Marcus Märtens, Simone D'Amico
IEEE Transactions on Aerospace and Electronic Systems (2020)
[arXiv] [link] [BibTeX]

Conference Proceedings

Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering
Tae Ha Park, Simone D'Amico
2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan (2024)
[project] [arXiv] [BibTeX]
Rapid Abstraction of Spacecraft 3D Structure from Single 2D Image
Tae Ha Park, Simone D'Amico
AIAA SciTech Forum, Orlando, Florida, January 8-12 (2024)
[link] [correction] [GitHub] [BibTeX]
Adaptive End-to-End Architecture for Autonomous Spacecraft Navigation and Control During Rendezvous and Proximity Operations
Justin J. Kruger, Tommaso Guffanti, Tae Ha Park, Mason Murray-Cooper, Samuel Y. Low, Toby Bell, Simone D'Amico, Christopher W. Roscoe and Jason Westphal
AIAA SciTech Forum, Orlando, Florida, January 8-12 (2024)
[link] [BibTeX]
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap
Tae Ha Park, Marcus Märtens, Gurvan Lecuyer, Dario Izzo, Simone D'Amico
IEEE Aerospace Conference, Big Sky, Montana, March 5-12 (2022)
[arXiv] [link] [GitHub] [BibTeX]
Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases
Tae Ha Park, Juergen Bosse, Simone D'Amico
2021 AAS/AIAA Astrodynamics Specialist Conference, Big Sky, Virtual, August 9-11 (2021)
[PDF] [BibTeX]
Generative Model for Spacecraft Image Synthesis using Limited Dataset
Tae Ha Park, Simone D'Amico
2020 AAS/AIAA Astrodynamics Specialist Conference, South Lake Tahoe, California, August 9 - 13 (2020)
[PDF] [BibTeX]
Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft
Tae Ha Park, Sumant Sharma, Simone D'Amico
2019 AAS/AIAA Astrodynamics Specialist Conference, Portland, Maine, August 11 - 15 (2019)
[PDF] [BibTeX]

Datasets