Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Schöller, Frederik"'
Autor:
Schmid, Robin, Atha, Deegan, Schöller, Frederik, Dey, Sharmita, Fakoorian, Seyed, Otsu, Kyohei, Ridge, Barry, Bjelonic, Marko, Wellhausen, Lorenz, Hutter, Marco, Agha-mohammadi, Ali-akbar
Navigating off-road with a fast autonomous vehicle depends on a robust perception system that differentiates traversable from non-traversable terrain. Typically, this depends on a semantic understanding which is based on supervised learning from imag
Externí odkaz:
http://arxiv.org/abs/2208.01329
Autor:
Lei, Xianmei, Kim, Taeyeon, Marchal, Nicolas, Pastor, Daniel, Ridge, Barry, Schöller, Frederik, Terry, Edward, Chavez, Fernando, Touma, Thomas, Otsu, Kyohei, Agha, Ali
Semantic object mapping in uncertain, perceptually degraded environments during long-range multi-robot autonomous exploration tasks such as search-and-rescue is important and challenging. During such missions, high recall is desirable to avoid missin
Externí odkaz:
http://arxiv.org/abs/2206.10062
The paper proposes a method to convert a deep learning object detector into an equivalent spiking neural network. The aim is to provide a conversion framework that is not constrained to shallow network structures and classification problems as in sta
Externí odkaz:
http://arxiv.org/abs/2106.05624
Autor:
Blanke, Mogens, Nicholas Hansen, P., Dittmann, Kjeld, Enevoldsen, Thomas T., Dagdilelis, Dimitrios, Schöller, Frederik E.T.S., Plenge-Feidenhans'l, Martin K., Becktor, Jonathan, Papageorgiou, Dimitrios, Galeazzi, Roberto
Publikováno v:
Journal of Physics: Conference Series; 2024, Vol. 2867 Issue 1, p1-12, 12p
Autor:
Becktor, Jonathan *, Schöller, Frederik E.T. *, Boukas, Evangelos *, Blanke, Mogens *, Nalpantidis, Lazaros *
Publikováno v:
In IFAC PapersOnLine 2022 55(31):64-69
Publikováno v:
In IFAC PapersOnLine 2021 54(16):83-89
Publikováno v:
In IFAC PapersOnLine 2021 54(16):1-6
Publikováno v:
In IFAC PapersOnLine 2019 52(21):64-71
Akademický článek
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Autor:
Schöller, Frederik Emil Thorsson, Blanke, Mogens, Plenge-Feidenhans'l, Martin Krarup, Nalpantidis, Lazaros
Publikováno v:
Schöller, F E T, Blanke, M, Plenge-Feidenhans'l, M K & Nalpantidis, L 2021, ' Vision-based Object Tracking in Marine Environments using Features from Neural Network Detections ', IFAC-PapersOnLine, vol. 53, no. 2, pp. 14517-14523 . https://doi.org/10.1016/j.ifacol.2020.12.1455
Autonomous decision support is desired to enable navigation with a temporally unattended bridge or to have the vessel navigated remotely. In order to have safe navigation, it is crucial to correctly interpret the current situation given any scenario.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1202::c88a1c133e1be7ea2f4bc6e97448d270
https://orbit.dtu.dk/en/publications/e7361cee-7e7d-417c-8d48-f919bcf2e431
https://orbit.dtu.dk/en/publications/e7361cee-7e7d-417c-8d48-f919bcf2e431