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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    Title :

    Relative Terrain Navigation Based Lunar Lander Simulator Using Computer Vision Techniques


    Contributors:


    Publication date :

    2024-07-22


    Size :

    4099644 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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