A methodology is summarized for designing on-board state estimators in support of spacecraft exploration of small bodies such as asteroids and comets. This paper focuses on an estimation algorithm that incorporates two basic computer-vision measurement types: a landmark table (LMT) and a paired feature table (PFT). Several innovations are developed to incorporate these measurement types into the on-board state estimation algorithm. Simulations are provided to demonstrate the feasibility of the approach.


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    Titel :

    On-board vision-based spacecraft estimation algorithm for small body exploration


    Beteiligte:
    Bayard, D.S. (Autor:in) / Brugarolas, P.B. (Autor:in)


    Erscheinungsdatum :

    2008-01-01


    Format / Umfang :

    2648349 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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