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.
Media properties
- Themes
- Research and Tech Transfer , ENAC, Robotics, Environment, Research and Tech Transfer
- Copyright
- © Alain Herzog/EPFL
- Licence
- CC0 Licence
- Shooting date
- May 20, 2022
- Album
- The missing piece to faster, cheaper and more accurate 3D mapping
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