Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Brodt, Kirill"'
Autor:
Gao, Jialin, Ong, Bill, Lwi, Darld, Ng, Zhen Hao, Yee, Xun Wei, Mak, Mun-Thye, Ng, Wee Siong, Ng, See-Kiong, Teo, Hui Ying, Khoo, Victor, Bökman, Georg, Edstedt, Johan, Brodt, Kirill, Boittiaux, Clémentin, Ferrera, Maxime, Konev, Stepan
Publikováno v:
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Demo Track (2024) 8661-8664
Research in 3D mapping is crucial for smart city applications, yet the cost of acquiring 3D data often hinders progress. Visual localization, particularly monocular camera position estimation, offers a solution by determining the camera's pose solely
Externí odkaz:
http://arxiv.org/abs/2407.18590
To plan a safe and efficient route, an autonomous vehicle should anticipate future motions of other agents around it. Motion prediction is an extremely challenging task that recently gained significant attention within the research community. In this
Externí odkaz:
http://arxiv.org/abs/2206.02163
Autor:
Michelucci, Pietro, Onac, Laura, Couch, Jennifer, Sherson, Jacob, Rafner, Janet, Bekins, Shirley Haruka, Solovyev, Roman, Brodt, Kirill
Publikováno v:
Michelucci, P, Onac, L, Couch, J, Sherson, J, Rafner, J, Bekins, S H, Solovyev, R & Brodt, K 2022, ' Exploring CrowdBots : a new evolutionary pathway for citizen science projects ', Proceedings of Science, vol. 418, 122 . https://doi.org/10.22323/1.418.0122
Collective hybrid intelligence may serve as an effective progression in the evolution of crowd-powered systems such as citizen science projects, which rely on human cognition. Supervised machine learning has been treated as a panacea for automated im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fa528857fd237784bfef03b502ca6bd
https://pure.au.dk/ws/files/324307752/Michelucci_2022_Exploring_crowdbots.pdf
https://pure.au.dk/ws/files/324307752/Michelucci_2022_Exploring_crowdbots.pdf
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