Reference : NASA-FDL Artificial Intelligence in Planetary Science; Lunar Resource Mission
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Physical, chemical, mathematical & earth Sciences : Space science, astronomy & astrophysics
Engineering, computing & technology : Geological, petroleum & mining engineering
Engineering, computing & technology : Multidisciplinary, general & others
Computational Sciences
http://hdl.handle.net/10993/39324
NASA-FDL Artificial Intelligence in Planetary Science; Lunar Resource Mission
English
Backes, Dietmar mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
15-Dec-2017
33
No
Yes
International
GRSG 2017 Annual Conference
13-12-2018 to 15-12-2018
GRSG
Lisbon
Portugal
[en] Lunar Mapping ; Crater Detection ; Artificial Intelligence ; Deep Learning ; Lunar Reconnaissance Orbiter (LRO)
Nasa-Ames & Seti Institute
NASA, SpaceResources.lu & Intel
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/39324
https://www.youtube.com/watch?v=opjLpuGuSvU
More informations under: https://frontierdevelopmentlab.org/fdl-2017; https://www.youtube.com/watch?v=dXXtYdfVov0

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