Engineers at EPFL and the University of Geneva believe they hold the key to automated drone mapping. By combining artificial intelligence with a new algorithm, their method promises to considerably reduce the time and resources needed to accurately scan complex landscapes.
The authors Davide A. Cucci, Aurélien Brun and Jan Skaloud.
Engineers at EPFL and the University of Geneva believe they hold the key to automated drone mapping. By combining artificial intelligence with a new algorithm, their method promises to considerably reduce the time and resources needed to accurately scan complex landscapes. The authors Davide A. Cucci, Aurélien Brun and Jan Skaloud.
Themes
ENAC, Research and Tech Transfer, Environment, Robotics
Copyright
© Alain Herzog/EPFL
Shooting date
05/20/2022
Album
The missing piece to faster, cheaper and more accurate 3D mapping, 05/20/2022

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