Terrain Relative Navigation (TRN) is an on-board GN&C function that generates a position estimate of a spacecraft relative to a map of a planetary surface. When coupled with a divert, the position estimate enables access to more challenging landing sites through pin-point landing or large hazard avoidance. The Lander Vision System (LVS) is a smart sensor system that performs terrain relative navigation by matching descent camera imagery to a map of the landing site and then fusing this with inertial measurements to obtain high rate map relative position, velocity and attitude estimates. A prototype of the LVS was recently tested in a helicopter field test over Mars analog terrain at altitudes representative of Mars Entry Descent and Landing conditions. TRN ran in real-time on the LVS during the flights without human intervention or tuning. The system was able to compute estimates accurate to 40m (3 sigma) in 10 seconds on a flight like processing system. This paper describes the Mars operational test space definition, how the field test was designed to cover that operational envelope, the resulting TRN performance across the envelope and an assessment of test space coverage.


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    Titel :

    Real-time Terrain Relative Navigation Test Results from a Relevant Environment for Mars Landing


    Beteiligte:
    Johnson, Andrew E. (Autor:in) / Cheng, Yang (Autor:in) / Montgomery, James (Autor:in) / Trawny, Nikolas (Autor:in) / Tweddle, Brent (Autor:in) / Zheng, Jason (Autor:in)

    Kongress:

    AIAA Scitech 2015 ; 2015 ; Kissimee, FL, United States


    Erscheinungsdatum :

    2015-01-05


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




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