Capability for precise lunar landing is the goal for future NASA missions. A LIDAR-based terrain relative navigation (TRN) approach lets us achieve this goal and also land under any illumination conditions. Results from field test data showed that the LIDAR TRN algorithm obtained position estimates with mean error of about 20 meters and standard deviations of about 10 meters. Moreover, the algorithm was capable of providing 99 percent correct estimates by assessing the local terrain relief in the data. Also, the algorithm was able to handle initial position uncertainty of up to 1.6 kilometers without performance degradation.


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    Title :

    Analysis and Testing of a LIDAR-Based Approach to Terrain Relative Navigation for Precise Lunar Landing


    Contributors:

    Conference:

    AIAA Guidance, Navigation, and Control Conference 2010 ; 2010 ; Toronto, ON, Canada


    Publication date :

    2010-08-02


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English





    Analysis and Testing of a LIDAR-Based Approach to Terrain Relative Navigation for Precise Lunar Landing

    Johnson, A. / Ivanov, T. / American Institute of Aeronautics and Astronautics; Conferderation of European Aerospace Societies | British Library Conference Proceedings | 2011



    Overview of terrain relative navigation approaches for Precise Lunar Landing

    Montgomery, James F. / Johnson, Andrew E. | NTRS | 2008


    Overview of Terrain Relative Navigation Approaches for Precise Lunar Landing

    Johnson, Andrew E. / Montgomery, James F. | NTRS | 2008