High performance Lunar landing simulations

Autonomous precision navigation to land onto the Moon relies on vision sensors. Computer vision algorithms are designed, trained and tested using synthetic simulations. High quality terrain models have been produced by Moon orbiters developed by several nations, with resolutions ranging from tens or...

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Bibliographic Details
Published inarXiv.org
Main Authors Lebreton, Jérémy, Brochard, Roland, Ollagnier, Nicolas, Baudry, Matthieu, Adrien Hadj Salah, Jonniaux, Grégory, Kanani, Keyvan, Matthieu Le Goff, Masson, Aurore
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 17.09.2024
Subjects
Algorithms
Autonomous navigation
Computer vision
Lunar landing
Moon
Ray tracing
Real time
Software
Space missions
Terrain models
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Summary:Autonomous precision navigation to land onto the Moon relies on vision sensors. Computer vision algorithms are designed, trained and tested using synthetic simulations. High quality terrain models have been produced by Moon orbiters developed by several nations, with resolutions ranging from tens or hundreds of meters globally down to few meters locally. The SurRender software is a powerful simulator able to exploit the full potential of these datasets in raytracing. New interfaces include tools to fuse multi-resolution DEMs and procedural texture generation. A global model of the Moon at 20m resolution was integrated representing several terabytes of data which SurRender can render continuously and in real-time. This simulator will be a precious asset for the development of future missions.
ISSN:2331-8422