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Found 7 papers, 0 papers with code
Characterizing Satellite Geometry via Accelerated 3D Gaussian Splatting
We demonstrate model training and 3D rendering performance on a hardware-in-the-loop satellite mock-up under several realistic lighting and motion conditions.
Taking a PEEK into YOLOv5 for Satellite Component Recognition via Entropy-based Visual Explanations
The escalating risk of collisions and the accumulation of space debris in Low Earth Orbit (LEO) has reached critical concern due to the ever increasing number of spacecraft.
SpaceYOLO: A Human-Inspired Model for Real-time, On-board Spacecraft Feature Detection
Performance in autonomous spacecraft detection of SpaceYOLO is compared to ordinary YOLOv5 in hardware-in-the-loop experiments under different lighting and chaser maneuver conditions at the ORION Laboratory at Florida Tech.
3D Reconstruction of Non-cooperative Resident Space Objects using Instant NGP-accelerated NeRF and D-NeRF
This work adapts Instant NeRF and D-NeRF, variations of the neural radiance field (NeRF) algorithm to the problem of mapping RSOs in orbit for the purposes of functionality identification and assisting with OOS.
Autonomous Rendezvous with Non-cooperative Target Objects with Swarm Chasers and Observers
Space debris is on the rise due to the increasing demand for spacecraft for com-munication, navigation, and other applications.
Performance Study of YOLOv5 and Faster R-CNN for Autonomous Navigation around Non-Cooperative Targets
One way to autonomously achieve target identification, characterization and feature recognition is by use of artificial intelligence algorithms.
Resource-constrained FPGA Design for Satellite Component Feature Extraction
The effective use of computer vision and machine learning for on-orbit applications has been hampered by limited computing capabilities, and therefore limited performance.
