@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 = "Funding Information: This work was authored by employees of Draper under Contract NNJ16HK08B with the National Aeronautics and Space Administration and is based upon work supported by NASA under Contracts NNM10AA11C and NNG12FD66C issued through the New Frontiers Program. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly, or allow others to do so, for United States Government purposes. All other rights are reserved by the copyright owner. Funding Information: Funding for the Canadian team members and for OLA was provided by the Canadian Space Agency. We are grateful to the entire OSIRIS-REx Team for making the encounter with Bennu possible. OLA (Daly et al. 2019), OCAMS (Rizk et al. 2019), and NavCam/TAGCAMS (Bos et al. 2019) data are available via the Planetary Data System (https://sbn.psi.edu/pds/resource/orex/). 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",
}