Apeksha Budhkar
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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 to estimate the pose of a target object in proximity, in real-time, using stereo vision, so as to enable planning for subsequent manoeuvres.
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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 onboard a satellite in low-earth orbit and the first demonstration of deep learning on the lunar surface. Copyright © 2022 by Mission Control Space Services…
