Future lunar landing systems, particularly those used to land humans on the lunar surface aspart of the ARTEMIS program, will require precision navigation relative to the lunar surface. The most common way to meet these stringent navigation require-ments is through terrain relative navigation (TRN), which localizes a spacecraft by comparing descent im-agery with a predefined map of the surface. The accu-racy achievable using TRN is limited by the accuracy of the reference Digital Elevation Map (DEM). It is therefore critical for future lunar missions that potential errors in DEMs be quantified. This paper describes one of NASA’s current efforts to develop a process for evaluating lunar DEM quality.


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    Titel :

    Digital Elevation Map Parametric Error Analysis Using Corresponding NAC Images


    Beteiligte:
    Chris R Gnam (Autor:in) / Carolina Restrepo (Autor:in) / Andrew L Liounis (Autor:in)

    Kongress:

    3rd Space Imaging Workshop ; 2022 ; Atlanta, GA, US


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch





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