300 citations · 532 across the 12 of their papers we have counts for
8 papers · 1 filter
Improved 3D Gaussian Splatting of Unknown Spacecraft Structure Using Space Environment Illumination Knowledge
Tae Ha Park, Simone D'Amico
This work presents a novel pipeline to recover the 3D structure of an unknown target spacecraft from a sequence of images captured during Rendezvous and Proximity Operations (RPO)…
Bridging the Domain Gap for Flight-Ready Spaceborne Vision
Tae Ha Park, Simone D'Amico
This work presents Spacecraft Pose Network v3 (SPNv3), a Neural Network (NN) for monocular pose estimation of a known, non-cooperative target spacecraft. SPNv3 is designed and trai…
Event-based Structure-from-Orbit
Ethan Elms, Yasir Latif, Tae Ha Park +1
Event sensors offer high temporal resolution visual sensing, which makes them ideal for perceiving fast visual phenomena without suffering from motion blur. Certain applications in…
Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap
Tae Ha Park, Simone D'Amico
This work presents Spacecraft Pose Network v2 (SPNv2), a Convolutional Neural Network (CNN) for pose estimation of noncooperative spacecraft across domain gap. SPNv2 is a multi-sca…
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap
Tae Ha Park, Marcus Märtens, Gurvan Lecuyer +2
Autonomous vision-based spaceborne navigation is an enabling technology for future on-orbit servicing and space logistics missions. While computer vision in general has benefited f…
Learning Robust Feature Representations for Scene Text Detection
Sihwan Kim, Taejang Park
Scene text detection based on deep neural networks have progressed substantially over the past years. However, previous state-of-the-art methods may still fall short when dealing w…
Satellite Pose Estimation Challenge: Dataset, Competition Design and Results
Mate Kisantal, Sumant Sharma, Tae Ha Park +3
Reliable pose estimation of uncooperative satellites is a key technology for enabling future on-orbit servicing and debris removal missions. The Kelvins Satellite Pose Estimation C…
Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft
Tae Ha Park, Sumant Sharma, Simone D'Amico
This work presents a novel Convolutional Neural Network (CNN) architecture and a training procedure to enable robust and accurate pose estimation of a noncooperative spacecraft. Fi…