Equinox uses a barrier-function-derived marginal cost to enable value-based adaptive scheduling and neighbor offloading in energy-constrained satellite constellations, yielding 20-31% throughput gains and higher battery reserves in simulation.
TinyML Enhances CubeSat Mission Capa- bilities.arXiv preprint arXiv:2603.20174, 2026
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A literature survey of event-based vision in space that organizes applications into atmospheric observation, environmental monitoring, operational support, and geospatial modeling.
TinyML models on IMX500 deliver 96.68% accuracy on EuroSAT at 17.4 FPS and 14.19 mJ per inference within 8 MB memory for in-sensor EO.
citing papers explorer
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Equinox: Decentralized Scheduling for Hardware-Aware Orbital Intelligence
Equinox uses a barrier-function-derived marginal cost to enable value-based adaptive scheduling and neighbor offloading in energy-constrained satellite constellations, yielding 20-31% throughput gains and higher battery reserves in simulation.
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Event-Based Vision in Space: Applications, Trends, and Future Directions
A literature survey of event-based vision in space that organizes applications into atmospheric observation, environmental monitoring, operational support, and geospatial modeling.
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Exploiting In-Sensor Computing for Energy-Efficient Earth Observation
TinyML models on IMX500 deliver 96.68% accuracy on EuroSAT at 17.4 FPS and 14.19 mJ per inference within 8 MB memory for in-sensor EO.