We present an advanced Pole-from-Silhouette (PFS) algorithm, which is robust to illumination conditions and non-zero sun phase. PFS is an important step in the optical navigation pipeline for an autonomous small spacecraft to approach an unknown small body. The algo- rithm estimates the rotation pole and 3D shape (visual hull) of the small body using only the lit pixels within the silhouette of the small body, the body’s rotation rate, the spacecraft attitude, and the spacecraft-target relative distance, which is estimated from orbit determination. We present detailed numerical simulations and multiple sensitivity analyses to demonstrate the effectiveness of our proposed PFS algorithm in different scenarios and target bodies.


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    Titel :

    Light-Robust Pole-from-Silhouette Algorithm and Visual-Hull Estimation for Autonomous Optical Navigation to an Unknown Small Body


    Beteiligte:
    Nesnas, Issa A. (Autor:in) / McMahon, Jay (Autor:in) / Bayard, David (Autor:in) / Bhaskaran, Shyam (Autor:in) / Lubey, Daniel (Autor:in) / Morrell, Benjamin (Autor:in) / Hockman, Benjamin (Autor:in) / Osmundson, Alan (Autor:in) / Villa, Jacopo (Autor:in) / Bandyopadhyay, Saptarshi (Autor:in)

    Erscheinungsdatum :

    2021-02-08


    Medientyp :

    Preprint


    Format :

    Keine Angabe


    Sprache :

    Englisch




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