Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Becktor, Jonathan"'
Autor:
Royce, Rob, Kaufmann, Marcel, Becktor, Jonathan, Moon, Sangwoo, Carpenter, Kalind, Pak, Kai, Towler, Amanda, Thakker, Rohan, Khattak, Shehryar
The advancement of robotic systems has revolutionized numerous industries, yet their operation often demands specialized technical knowledge, limiting accessibility for non-expert users. This paper introduces ROSA (Robot Operating System Agent), an A
Externí odkaz:
http://arxiv.org/abs/2410.06472
We explore the use of uncertainty estimation in the maritime domain, showing the efficacy on toy datasets (CIFAR10) and proving it on an in-house dataset, SHIPS. We present a method joining the intra-class uncertainty achieved using Monte Carlo Dropo
Externí odkaz:
http://arxiv.org/abs/2307.01325
Publikováno v:
In Machine Learning with Applications 15 December 2022 10
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
Autor:
Becktor, Jonathan Binner
Publikováno v:
Becktor, J B 2023, Robust Maritime Object Detection . Technical University of Denmark .
Marine incidents, such as groundings and collisions, are often caused by human error. To improve safety and reduce costs, the integration of autonomy into commercial vessels is desired. Autonomy can be implemented at different levels, from situationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1202::feda1a31e40a35f6601a7d51e4181ccf
https://orbit.dtu.dk/en/publications/ec9b04e6-bcdb-48af-910c-68bc504f28f5
https://orbit.dtu.dk/en/publications/ec9b04e6-bcdb-48af-910c-68bc504f28f5
Robust Vision-based Multi-spacecraft Guidance Navigation and Control using CNN-based Pose Estimation
Autor:
Becktor, Jonathan Binner, Seto, William, Deole, Aditya, Bandyopadhyay, Saptarshi, Rahimi, Niyousha, Talebi, Shahriar, Mesbahi, Mehran, Rahmani, Amir
Publikováno v:
Becktor, J B, Seto, W, Deole, A, Bandyopadhyay, S, Rahimi, N, Talebi, S, Mesbahi, M & Rahmani, A 2022, Robust Vision-based Multi-spacecraft Guidance Navigation and Control using CNN-based Pose Estimation . in Proceedings of 2022 IEEE Aerospace Conference . IEEE, 43 rd IEEE Aerospace Conference 2022, Big Sky, Montana, United States, 05/03/2022 . https://doi.org/10.1109/AERO53065.2022.9843396
In this paper, we present an end-to-end simulation framework for tracking an uncooperative Target spacecraft in Low Earth Orbit using a CubeSat-class Ego spacecraft outfitted with a camera. Currently, capturing high-fidelity realistic images in space
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7e4980ca17c67efa66d5eb653977fe5
https://doi.org/10.1109/aero53065.2022.9843396
https://doi.org/10.1109/aero53065.2022.9843396
Autor:
Becktor, Jonathan Binner, Schöller, Frederik Emil Thorsson Saabye, Boukas, Evangelos, Blanke, Mogens, Nalpantidis, Lazaros
Publikováno v:
Becktor, J B, Schöller, F E T S, Boukas, E, Blanke, M & Nalpantidis, L 2022, ' Bolstering Maritime Object Detection with Synthetic Data ', IFAC-PapersOnLine, vol. 55, no. 31, pp. 64-69 . https://doi.org/10.1016/j.ifacol.2022.10.410
For autonomy in the maritime domain, object detection is a very important task, as one needs to perceive the surroundings to take appropriate action decisions. A large issue in maritime object detection and classification is the shortage of thorough
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1202::f7c0903b577d24dd0c862f3e0c68d95a
https://orbit.dtu.dk/en/publications/b1151166-4e2e-480f-8144-06a4af9f139d
https://orbit.dtu.dk/en/publications/b1151166-4e2e-480f-8144-06a4af9f139d
Autor:
Schöller, Frederik Emil Thorsson, Enevoldsen, Thomas Thuesen, Becktor, Jonathan Binner, Hansen, Nicholas
Publikováno v:
Schöller, F E T, Enevoldsen, T T, Becktor, J B & Hansen, N 2021, ' Trajectory Prediction for Marine Vessels using Historical AIS Heatmaps and Long Short-Term Memory Networks* ', IFAC-PapersOnLine, vol. 54, no. 16, pp. 83-89 . https://doi.org/10.1016/j.ifacol.2021.10.077
Estimating the trajectory of other vessels is essential when navigating a marine vessel, both as a human navigator and as a machine. By estimating the trajectories of other vessels, sub-systems such as collision avoidance algorithms can plan ahead ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1202::3ba9b1cb759ffffd406a95a12e704137
https://orbit.dtu.dk/en/publications/3ae58c78-3fd3-4063-896c-ad0d74c125ba
https://orbit.dtu.dk/en/publications/3ae58c78-3fd3-4063-896c-ad0d74c125ba