Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft. - Tae Ha Park; Sumant Sharma; Simone D'Amico (CoRR, 2019)

Satellite Pose Estimation Challenge: Dataset, Competition Design, and Results. - Mate Kisantal; Sumant Sharma; Tae Ha Park; Dario Izzo; Marcus Märtens; Simone D'Amico (IEEE Trans. Aerosp. Electron. Syst., 2020)

Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases. - Tae Ha Park; Juergen Bosse; Simone D'Amico (CoRR, 2021)

SPEED+: Next Generation Dataset for Spacecraft Pose Estimation across Domain Gap. - Tae Ha Park; Marcus Märtens; Gurvan Lécuyer; Dario Izzo; Simone D'Amico (CoRR, 2021)

Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap. - Tae Ha Park; Simone D'Amico (CoRR, 2022)

Adaptive Neural Network-based Unscented Kalman Filter for Spacecraft Pose Tracking at Rendezvous. - Tae Ha Park; Simone D'Amico (CoRR, 2022)

Event-based Structure-from-Orbit. - Ethan Elms; Yasir Latif; Tae Ha Park; Tat-Jun Chin (CVPR, 2024)

Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering. - Tae Ha Park; Simone D'Amico (ICRA, 2024)

Bridging Domain Gap for Flight-Ready Spaceborne Vision. - Tae Ha Park; Simone D'Amico (CoRR, 2024)

TOPSPIN: daTaset Of sPinning objectS with neuromorPhic vIsioN. - Ethan Elms; Yasir Latif; Tae Ha Park; Tat-Jun Chin (Zenodo, 2024)