AV短视频 / EPFL / Mirage News / AZoOptics / Eurasia Review
The missing piece to faster, cheaper and more accurate 3D mapping
A research team from the Geneva School of Economics and Management (GSEM) and the EPF Lausanne have combined artificial intelligence with a new algorithm to create a method that considerably reduces the time and resources needed to accurately scan complex landscapes and potentially holds the key to automated drone mapping. The new method was developed by Davide A. Cucci (GSEM Senior Research Associate), Aur茅lien Brun, and Jan Skaloud and is detailed in the article, , published in the ISPRS Journal of Photogrammetry and Remote Sensing.
> For more information on this research, please consult the web page published by the GSEM.
ENGLISH
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FRENCH
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2022
