@inproceedings{2b3e868a838f4e7fb38b2886e658ba05,
title = "Development and Flight Performance of the Autonomous Navigation Feature Catalog for OSIRIS-REx Asteroid Sample Collection",
abstract = "– The OSIRIS-REx spacecraft successfully collected a sample from the asteroid Bennu in October 2020, enabled by the vision navigation system Natural Feature Tracking (NFT). NFT autonomously provided state updates by matching features defined from Bennu shape model data to onboard camera images and allowed the spacecraft to touch down within 1 meter of the targeted location. This paper presents the development process and flight performance of the feature catalog used for navigation, including findings about terrain characteristics of robust features, validation methodologies despite limited test imagery, and trends between feature terrain content and final feature performance.",
author = "Courtney Mario and Curtis Miller and Chris Norman and Ryan Olds and Eric Palmer and John Weirich and Lorenz, \{David A.\} and Barnouin, \{Olivier S.\} and Daly, \{Michael G.\} and Seabrook, \{Jeff A.\} and Bos, \{Brent J.\} and Bashar Rizk and Lauretta, \{Dante S.\}",
note = "Publisher Copyright: {\textcopyright} 2022, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 ; Conference date: 03-01-2022 Through 07-01-2022",
year = "2022",
doi = "10.2514/6.2022-0357",
language = "English (US)",
isbn = "9781624106316",
series = "AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA SciTech Forum 2022",
}