Image simulation for space applications with the SurRender software
Lebreton, Jérémy, Brochard, Roland, Baudry, Matthieu, Jonniaux, Grégory, Salah, Adrien Hadj, Kanani, Keyvan, Goff, Matthieu Le, Masson, Aurore, Ollagnier, Nicolas, Panicucci, Paolo, Proag, Amsha, Robin, Cyril
–arXiv.org Artificial Intelligence
Vision-based navigation solutions require training and validation datasets that are as close as possible to real images. Our team and partners develop computer vision algorithms for space exploration (Mars, Jupiter, asteroids, the Moon), and for in-orbit operations (rendezvous, robotic arms, space debris removal). There is a new wave of missions targeting cislunar orbit or the Moon surface. Of course "real images" are rarely available before the mission. Ground-based test facilities such as robotic test benches embarking mock-ups or experiences with scaled mission analogues (mars terrain analogue, drones flights, etc.) are useful, yet they are limited.
arXiv.org Artificial Intelligence
Jun-21-2021
- Country:
- Europe
- France > Occitanie
- Haute-Garonne > Toulouse (0.04)
- Netherlands > South Holland
- Delft (0.04)
- France > Occitanie
- North America > United States
- Arizona (0.04)
- Europe
- Genre:
- Research Report (0.64)
- Technology: