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pro vyhledávání: '"Driver, Travis"'
Autor:
Driver, Travis, Vaughan, Andrew, Cheng, Yang, Ansar, Adnan, Christian, John, Tsiotras, Panagiotis
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 albedo at detected landmarks to improve autonomous surface and shape char
Externí odkaz:
http://arxiv.org/abs/2312.06865
Autor:
Driver, Travis, Tsiotras, Panagiotis
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 tracking based on deep learning are a promising alternative to current hu
Externí odkaz:
http://arxiv.org/abs/2304.04985
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 priori terrain maps, which require extensive human-in-the-loop verifica
Externí odkaz:
http://arxiv.org/abs/2301.13254
We propose AstroSLAM, a standalone vision-based solution for autonomous online navigation around an unknown target small celestial body. AstroSLAM is predicated on the formulation of the SLAM problem as an incrementally growing factor graph, facilita
Externí odkaz:
http://arxiv.org/abs/2212.00350
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 great advancements in feature detection and description, training and v
Externí odkaz:
http://arxiv.org/abs/2208.02053
Publikováno v:
In Acta Astronautica September 2023 210:393-410
Akademický článek
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