20 citations · 38 across the 6 of their papers we have counts for
6 papers
Lunar-G2R: Geometry-to-Reflectance Learning for High-Fidelity Lunar BRDF Estimation
Clementine Grethen, Nicolas Menga, Roland Brochard +4
We address the problem of estimating realistic, spatially varying reflectance for complex planetary surfaces such as the lunar regolith, which is critical for high-fidelity renderi…
High performance Lunar landing simulations
Jérémy Lebreton, Roland Brochard, Nicolas Ollagnier +6
Autonomous precision navigation to land onto the Moon relies on vision sensors. Computer vision algorithms are designed, trained and tested using synthetic simulations. High qualit…
Training Datasets Generation for Machine Learning: Application to Vision Based Navigation
Jérémy Lebreton, Ingo Ahrns, Roland Brochard +8
Vision Based Navigation consists in utilizing cameras as precision sensors for GNC after extracting information from images. To enable the adoption of machine learning for space ap…
Vision-Based Estimation of Small Body Rotational State during the Approach Phase
Paolo Panicucci, Jérémy Lebreton, Roland Brochard +2
The heterogeneity of the small body population complicates the prediction of small body properties before the spacecraft's arrival. In the context of autonomous small body explorat…
Image simulation for space applications with the SurRender software
Jérémy Lebreton, Roland Brochard, Matthieu Baudry +9
Image Processing algorithms for vision-based navigation require reliable image simulation capacities. In this paper we explain why traditional rendering engines may present limitat…
Scientific image rendering for space scenes with the SurRender software
Roland Brochard, Jérémy Lebreton, Cyril Robin +5
Spacecraft autonomy can be enhanced by vision-based navigation (VBN) techniques. Applications range from manoeuvers around Solar System objects and landing on planetary surfaces, t…