Becca Bonham-Carter
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Deploying Artificial Intelligence Capabilities by Hybridizing a Neural Network on a Satellite
Read more: Deploying Artificial Intelligence Capabilities by Hybridizing a Neural Network on a SatelliteIn this paper wepresent one of the first cases of hybridization of a convolutional neural network in space,validated onboard ESA’s OPS-SAT with the SmartCam convolutional neural network. Copyright © 2023 […]
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Development and Test of Deep Learning Techniques for Stereo-based Pose Estimation of Small Satellites
Read more: Development and Test of Deep Learning Techniques for Stereo-based Pose Estimation of Small SatellitesIn this paper, we outline our approach and limited results from a recently completed project on the development and test of a neural network designed to allow a servicing spacecraft […]
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Advancing AI Reliability for Space Missions through Machine Learning Operations
Read more: Advancing AI Reliability for Space Missions through Machine Learning OperationsMission Control, with the support of the Canadian Space Agency, is developing and launching Mission Persistence in 2025 to introduce and test new approaches to AI in space operations. Mission […]
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Testing Approaches for Machine Learning Payloads in Flight Software
Read more: Testing Approaches for Machine Learning Payloads in Flight SoftwareBecca Bonham-Carter & Luis Chavier present “Testing Approaches for Machine Learning Payloads in Flight Software” for FSW Workshop 2025 hosted by Stoke Space at UW Seattle, WA, March 2025. Watch […]
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Accelerating Deep Learning for the Earth and Moon
Read more: Accelerating Deep Learning for the Earth and MoonBecca Bonham Carter presents Accelerating Deep Learning for the Earth and Moon for FSW Workshop 2023 hosted by Jet Propulsion Laboratory. Watch Here: FSW 2023: Accelerating Deep Learning for the […]
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Enabling Autonomy with a Deep Learning Framework for Planetary Exploration
Read more: Enabling Autonomy with a Deep Learning Framework for Planetary ExplorationThis paper presents a deep learning framework that methodically captures these elements and presents two examples of its use for space flight missions, reprogramming a neural network deep learning model […]
