397 citations · 544 across the 18 of their papers we have counts for
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astro-ph.IM2022★ 12 cited
AstroVision: Towards Autonomous Feature Detection and Description for Missions to Small Bodies Using Deep Learning
Travis Driver, Katherine Skinner, Mehregan Dor +1
Missions to small celestial bodies rely heavily on optical feature tracking for characterization of and relative navigation around the target body. While deep learning has led to g…
astro-ph.IM2020★ 32 cited
Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade
Abigail R. Azari, John B. Biersteker, Ryan M. Dewey +13
Machine learning (ML) methods can expand our ability to construct, and draw insight from large datasets. Despite the increasing volume of planetary observations, our field has seen…