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.
Cite
@article{arxiv.2409.11450,
title = {High performance Lunar landing simulations},
author = {Jérémy Lebreton and Roland Brochard and Nicolas Ollagnier and Matthieu Baudry and Adrien Hadj Salah and Grégory Jonniaux and Keyvan Kanani and Matthieu Le Goff and Aurore Masson},
journal= {arXiv preprint arXiv:2409.11450},
year = {2024}
}
Comments
8 pages, 6 figures, Proceedings of the 73rd International Astronautical Congress (IAC), Paris, France, 18-22 November 2022. Contribution reference: IAC-22,A3,IP,44,x71795