Moon research is closely related to space exploration, with research stations being deployed on its surface for long-term. An essential element in this context is the provision of a soft landing system which is highly accurate and reliable. This paper aims to develop a relative terrain based navigation system using computer vision techniques to aid in accurate softlanding. High-quality surface images can now be obtained at all stages of landing using modern computer vision systems, and they can be processed in real-time. The viability of using computer vision techniques is demonstrated using a lunar lander simulator developed in-house.


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    Titel :

    Relative Terrain Navigation Based Lunar Lander Simulator Using Computer Vision Techniques


    Beteiligte:
    Mondal, Sudip (Autor:in) / Srikant, Sukumar (Autor:in)


    Erscheinungsdatum :

    22.07.2024


    Format / Umfang :

    4099644 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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