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    Development and Flight Performance of the Autonomous Navigation Feature Catalog for OSIRIS-REx Asteroid Sample Collection

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    Name:
    Development_and_Flight_Perform ...
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    3.251Mb
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    Description:
    Final Accepted Manuscript
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    Author
    Mario, Courtney
    Miller, Curtis
    Norman, Chris
    Olds, Ryan
    Palmer, Eric
    Weirich, John
    Lorenz, David A.
    Barnouin, Olivier
    Bos, Brent J.
    Rizk, Bashar
    Lauretta, Dante
    Show allShow less
    Affiliation
    University of Arizona
    Issue Date
    2022-12-29
    
    Metadata
    Show full item record
    Publisher
    American Institute of Aeronautics and Astronautics
    Citation
    Mario, C., Miller, C., Norman, C., Olds, R., Palmer, E., Weirich, J., Lorenz, D. A., Barnouin, O. S., Daly, M. G., Seabrook, J. A., Bos, B. J., Rizk, B., & Lauretta, D. S. (2022). Development and Flight Performance of the Autonomous Navigation Feature Catalog for OSIRIS-REx Asteroid Sample Collection. AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022.
    Journal
    AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022
    Rights
    Copyright © 2022 by The Charles Stark Draper Laboratory, Inc.. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    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.
    Description
    Item includes correction issued 01 February 2022.
    Note
    Immediate access
    DOI
    10.2514/6.2022-0357
    10.2514/6.2022-0357.c1
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.2514/6.2022-0357
    Scopus Count
    Collections
    UA Faculty Publications

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