Tae Ha Park

According to our database, Tae Ha Park authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Improved 3D Gaussian Splatting of Unknown Spacecraft Structure Using Space Environment Illumination Knowledge.

Tae Ha Park, Simone D'Amico

CoRR, December, 2025

2024

TOPSPIN: daTaset Of sPinning objectS with neuromorPhic vIsioN.

Ethan Elms, Yasir Latif, Tae Ha Park, Tat-Jun Chin

Dataset, March, 2024

Bridging Domain Gap for Flight-Ready Spaceborne Vision.

Tae Ha Park, Simone D'Amico

CoRR, 2024

Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering.

Tae Ha Park, Simone D'Amico

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Event-based Structure-from-Orbit.

Ethan Elms, Yasir Latif, Tae Ha Park, Tat-Jun Chin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

Adaptive Neural Network-based Unscented Kalman Filter for Spacecraft Pose Tracking at Rendezvous.

Tae Ha Park, Simone D'Amico

CoRR, 2022

Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap.

Tae Ha Park, Simone D'Amico

CoRR, 2022

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

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

2020

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

2019

Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft.

Tae Ha Park, Sumant Sharma, Simone D'Amico

CoRR, 2019