Jérémy Lebreton, Roland Brochard, Nicolas Ollagnier, Matthieu Baudry, Adrien Hadj Salah, Grégory Jonniaux, Keyvan Kanani, Matthieu Le Goff, Aurore Masson
{"title":"High performance Lunar landing simulations","authors":"Jérémy Lebreton, Roland Brochard, Nicolas Ollagnier, Matthieu Baudry, Adrien Hadj Salah, Grégory Jonniaux, Keyvan Kanani, Matthieu Le Goff, Aurore Masson","doi":"arxiv-2409.11450","DOIUrl":null,"url":null,"abstract":"Autonomous precision navigation to land onto the Moon relies on vision\nsensors. Computer vision algorithms are designed, trained and tested using\nsynthetic simulations. High quality terrain models have been produced by Moon\norbiters developed by several nations, with resolutions ranging from tens or\nhundreds of meters globally down to few meters locally. The SurRender software\nis a powerful simulator able to exploit the full potential of these datasets in\nraytracing. New interfaces include tools to fuse multi-resolution DEMs and\nprocedural texture generation. A global model of the Moon at 20m resolution was\nintegrated representing several terabytes of data which SurRender can render\ncontinuously and in real-time. This simulator will be a precious asset for the\ndevelopment of future missions.","PeriodicalId":501163,"journal":{"name":"arXiv - PHYS - Instrumentation and Methods for Astrophysics","volume":"9 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Instrumentation and Methods for Astrophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.