Park, Tae Ha

Satellite Pose Estimation Challenge: Dataset, Competition Design, and Results

Kisantal, M., Sharma, S., Park, T. H., Izzo, D., Martens, M., & D'Amico, S. (2020) · IEEE Transactions on Aerospace and Electronic Systems

Space Satellite Systems and ControlSpacecraft Dynamics and Control

Cited by 304

Spacecraft pose estimation dataset (speed)

Sharma, S., Park, T. H., & D'Amico, S. (2026) · Stanford Digital Repository

Space Satellite Systems and ControlSpacecraft Dynamics and Control

Cited by 304

Satellite Pose Estimation Challenge: Dataset, Competition Design and Results

Kisantal, M., Sharma, S., Park, T. H., Izzo, D., Märtens, M., & D'Amico, S. (2019) · arXiv

Space Satellite Systems and ControlSpacecraft Dynamics and Control

Cited by 304

SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap

Park, T. H., Martens, M., Lecuyer, G., Izzo, D., & D'Amico, S. (2022) · 2022 IEEE Aerospace Conference (AERO)

Space Satellite Systems and ControlSpacecraft Dynamics and Control

Cited by 170

Robust multi-task learning and online refinement for spacecraft pose estimation across domain gap

Park, T. H., & D’Amico, S. (2024) · Advances in Space Research

Space Satellite Systems and ControlAdvanced Neural Network Applications

Cited by 125

Satellite Pose Estimation Competition 2021: Results and Analyses

Park, T. H., Märtens, M., Jawaid, M., Wang, Z., Chen, B., Chin, T.-J., Izzo, D., & D’Amico, S. (2023) · Acta Astronautica

Space Satellite Systems and ControlDomain Adaptation and Few-Shot Learning

Cited by 91

Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft

Park, T. H., Sharma, S., & D'Amico, S. (2019) · arXiv

Space Satellite Systems and ControlAdvanced Neural Network Applications

Cited by 65

Adaptive neural-network-based unscented kalman filter for robust pose tracking of noncooperative spacecraft

Park, T. H., & D’Amico, S. (2023) · Journal of Guidance, Control, and Dynamics

Space Satellite Systems and ControlSpacecraft Dynamics and Control

Cited by 63

Robotic testbed for rendezvous and optical navigation: Multi-source calibration and machine learning use cases

Park, T. H., Bosse, J., & D'Amico, S. (2021) · arXiv

Space Satellite Systems and ControlSpacecraft Dynamics and Control

Cited by 10