8 papers
Unsupervised Domain Adaptation for Sim-to-Real Object Pose Estimation with Contrastive Alignment and Pseudo-Label Refinement
Nidhal Eddine Chenni, Arunkumar Rathinam, Djamila Aouada
Unsupervised domain adaptation (UDA) enables robust transfer of knowledge from simulated to real environments while exploiting a subset of unlabeled target data to improve real-wor…
TALON: Token-Aligned Lightweight Adapters for 6-DoF Spacecraft Pose Estimation
Abid Ali, Arunkumar Rathinam, Djamila Aouada
Monocular 6-DoF spacecraft pose estimation methods predominantly process individual frames, discarding the temporal information present in an image sequence acquired during spacecr…
Efficient Onboard Spacecraft Pose Estimation with Event Cameras and Neuromorphic Hardware
Arunkumar Rathinam, Jules Lecomte, Jost Reelsen +3
Reliable relative pose estimation is a key enabler for autonomous rendezvous and proximity operations, yet space imagery is notoriously challenging due to extreme illumination, hig…
Annotation Free Spacecraft Detection and Segmentation using Vision Language Models
Samet Hicsonmez, Jose Sosa, Dan Pineau +4
Vision Language Models (VLMs) have demonstrated remarkable performance in open-world zero-shot visual recognition. However, their potential in space-related applications remains la…
Domain Adaptive Object Detection for Space Applications with Real-Time Constraints
Samet Hicsonmez, Abd El Rahman Shabayek, Arunkumar Rathinam +1
Object detection is essential in space applications targeting Space Domain Awareness and also applications involving relative navigation scenarios. Current deep learning models for…
Bridging the Synthetic-Real Gap: Supervised Domain Adaptation for Robust Spacecraft 6-DoF Pose Estimation
Inder Pal Singh, Nidhal Eddine Chenni, Abd El Rahman Shabayek +2
Spacecraft Pose Estimation (SPE) is a fundamental capability for autonomous space operations such as rendezvous, docking, and in-orbit servicing. Hybrid pipelines that combine obje…