日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
sim2realarXiv:2409.11450

高性能な月着陸シミュレーション

High performance Lunar landing simulations

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月面着陸のための視覚センサーアルゴリズム開発に使われる、レイトレーシングベースの高精度シミュレータSurRenderを紹介し、20m解像度の月全球モデルをリアルタイム描画できることを示した。

著者: Jérémy Lebreton, Roland Brochard, Nicolas Ollagnier, Matthieu Baudry, Adrien Hadj Salah, Grégory Jonniaux, Keyvan Kanani, Matthieu Le Goff, Aurore Masson

分類: astro-ph.IM, astro-ph.EP, cs.GR, cs.RO

原文アブストラクト

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.

関連論文

PR本紙発行元 EmplifAI