High performance Lunar landing simulations

Jérémy Lebreton, Roland Brochard, Nicolas Ollagnier, Matthieu Baudry, Adrien Hadj Salah, Grégory Jonniaux, Keyvan Kanani, Matthieu Le Goff, Aurore Masson
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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.
高性能登月模拟
登陆月球的自主精确导航依赖于视觉传感器。计算机视觉算法的设计、训练和测试都是通过合成模拟完成的。多个国家开发的月球轨道器已经生成了高质量的地形模型,其分辨率从全球的几十米或几百米到局部的几米不等。SurRender 软件是一个功能强大的模拟器,能够充分挖掘这些数据集在光线跟踪方面的潜力。新的界面包括融合多分辨率 DEM 和程序化纹理生成工具。一个 20 米分辨率的月球全球模型被整合在一起,代表了数 TB 的数据,SurRender 可以对这些数据进行连续和实时的渲染。该模拟器将成为未来任务开发的宝贵财富。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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