High performance Lunar landing simulations

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Lebreton, Jérémy, Brochard, Roland, Ollagnier, Nicolas, Baudry, Matthieu, Salah, Adrien Hadj, Jonniaux, Grégory, Kanani, Keyvan, Goff, Matthieu Le, Masson, Aurore
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866909318965624832
author Lebreton, Jérémy
Brochard, Roland
Ollagnier, Nicolas
Baudry, Matthieu
Salah, Adrien Hadj
Jonniaux, Grégory
Kanani, Keyvan
Goff, Matthieu Le
Masson, Aurore
author_facet Lebreton, Jérémy
Brochard, Roland
Ollagnier, Nicolas
Baudry, Matthieu
Salah, Adrien Hadj
Jonniaux, Grégory
Kanani, Keyvan
Goff, Matthieu Le
Masson, Aurore
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_11450
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle High performance Lunar landing simulations
Lebreton, Jérémy
Brochard, Roland
Ollagnier, Nicolas
Baudry, Matthieu
Salah, Adrien Hadj
Jonniaux, Grégory
Kanani, Keyvan
Goff, Matthieu Le
Masson, Aurore
Instrumentation and Methods for Astrophysics
Earth and Planetary Astrophysics
Graphics
Robotics
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.
title High performance Lunar landing simulations
topic Instrumentation and Methods for Astrophysics
Earth and Planetary Astrophysics
Graphics
Robotics
url https://arxiv.org/abs/2409.11450