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pro vyhledávání: '"KERLE, Norman"'
Autonomous navigation of drones using computer vision has achieved promising performance. Nano-sized drones based on edge computing platforms are lightweight, flexible, and cheap, thus suitable for exploring narrow spaces. However, due to their extre
Externí odkaz:
http://arxiv.org/abs/2303.10386
Self-supervised monocular depth estimation that does not require ground truth for training has attracted attention in recent years. It is of high interest to design lightweight but effective models so that they can be deployed on edge devices. Many e
Externí odkaz:
http://arxiv.org/abs/2211.13202
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing January 2022 183:470-481
Publikováno v:
In International Journal of Disaster Risk Reduction 15 June 2021 60
Publikováno v:
In Ocean and Coastal Management 15 April 2020 188
Akademický článek
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Publikováno v:
4/2022, DEval Policy Brief, 4
Eine systematische Nutzung von RS-Daten ermöglicht durch Hinzunahme einer räumlichen Dimension eine bessere Beantwortung der Evaluierungsfragen. In diesem Policy Brief wird der methodische Ansatz von DEval zur Analyse von hochauflösenden RS-Daten
Externí odkaz:
https://www.ssoar.info/ssoar/handle/document/79586
Publikováno v:
4/2022, DEval Policy Brief, 4
A systematic use of Remote Sensing (RS) data opens a door for evaluators to better address evaluation questions by adding a spatial dimension. This policy brief highlights DEval’s methodological approach to the analysis of high-resolution RS data t
Externí odkaz:
https://www.ssoar.info/ssoar/handle/document/78710
Autor:
Sukma, Aulia Imania, Koeva, Mila N., Reckien, Diana, Bockarjova, Marija, da Silva Mano, Andre, Canili, Giulia, Vicentini, Giovanni, Kerle, Norman
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2024, Vol. 48 Issue 4/W11, p129-136, 8p
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing June 2018 140:45-59