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20222026
most citedAstroVision: Towards Autonomous Feature Detection and Description for Missions to Small Bodies Using Deep Learning

12 citations · 20 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Principal Component Analysis for Lunar Crater Detection

Travis Driver, John A. Christian

Optical navigation is a critical component for lunar orbiter and lander missions. Image-based crater identification has emerged as a promising technology for optical navigation due…

cs.CV2026

AstroSplat: Physics-Based Gaussian Splatting for Rendering and Reconstruction of Small Celestial Bodies

Jennifer Nolan, Travis Driver, John Christian

Image-based surface reconstruction and characterization are crucial for missions to small celestial bodies (e.g., asteroids), as it informs mission planning, navigation, and scient…

cs.CV2025

Stereophotoclinometry Revisited

Travis Driver, Andrew Vaughan, Yang Cheng +3

Image-based surface reconstruction and characterization is crucial for missions to small celestial bodies, as it informs mission planning, navigation, and scientific analysis. Howe…

cs.CV2023

Keypoint-based Stereophotoclinometry for Characterizing and Navigating Small Bodies: A Factor Graph Approach

Travis Driver, Andrew Vaughan, Yang Cheng +3

This paper proposes the incorporation of techniques from stereophotoclinometry (SPC) into a keypoint-based structure-from-motion (SfM) system to estimate the surface normal and alb…

cs.CV2023★ 1 cited

Distributed Global Structure-from-Motion with a Deep Front-End

Ayush Baid, John Lambert, Travis Driver +3

While initial approaches to Structure-from-Motion (SfM) revolved around both global and incremental methods, most recent applications rely on incremental systems to estimate camera…

cs.CV2023

Efficient Feature Description for Small Body Relative Navigation using Binary Convolutional Neural Networks

Travis Driver, Panagiotis Tsiotras

Missions to small celestial bodies rely heavily on optical feature tracking for characterization of and relative navigation around the target body. While techniques for feature tra…

cs.CV2023★ 1 cited

Deep Monocular Hazard Detection for Safe Small Body Landing

Travis Driver, Kento Tomita, Koki Ho +1

Hazard detection and avoidance is a key technology for future robotic small body sample return and lander missions. Current state-of-the-practice methods rely on high-fidelity, a p…