Event-camera inputs processed by quantized MobileNet-style networks on Akida neuromorphic chips deliver real-time 6-DoF spacecraft pose estimates with low power draw.
Real-time event-based unsupervised feature consolidation and tracking for space situational awareness.Frontiers in Neuroscience, 16:821157
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Efficient Onboard Spacecraft Pose Estimation with Event Cameras and Neuromorphic Hardware
Event-camera inputs processed by quantized MobileNet-style networks on Akida neuromorphic chips deliver real-time 6-DoF spacecraft pose estimates with low power draw.