Zobrazeno 1 - 10
of 30 167
pro vyhledávání: '"Kunze A"'
Autor:
Sirgabsou, Yandika, Hardin, Benjamin, Leblanc, François, Raili, Efi, Salvini, Pericle, Jackson, David, Jirotka, Marina, Kunze, Lars
This paper addresses the critical issue of psychological safety in the design and operation of autonomous vehicles, which are increasingly integrated with artificial intelligence technologies. While traditional safety standards focus primarily on phy
Externí odkaz:
http://arxiv.org/abs/2411.05732
Autor:
Agnes, P., Berger, Q., Bomben, M., Campestrini, M., Caravati, M., Cortez, A. F. V., Franco, D., Galbiati, C., Giovanetti, G. K., Hessel, T., Hidalgo, C., Hoceini, S., Houriez, C., Kunzé, P., Machts, J., Nikoloudaki, E., Pailot, D., Pantic, E., Savarese, C., Stringari, P., Sung, A., Lavina, L. Scotto, Simon, J-M, de Souza, H. Vieira, Wada, M., Wang, Y., Zhang, Y.
The Xenon-Argon Technology (X-ArT) collaboration presents a study on the dynamics of pure and xenon-doped liquid argon (LAr) scintillation. Using two types of silicon photomultipliers sensitive to different wavelength ranges, we identify a long-lived
Externí odkaz:
http://arxiv.org/abs/2410.22863
Autor:
Luo, Manlin, Ge, Junyu, Huang, Pengru, Yu, Yi, Seo, In Cheol, Lu, Kunze, Sun, Hao, Tan, Jian Kwang, Kim, Sejeong, Gao, Weibo, Li, Hong, Nam, Donguk
Forming single-photon emitters (SPEs) in insulating hexagonal boron nitride (hBN) has sparked wide interests in the quantum photonics. Despite significant progress, it remains challenging to deterministically create SPEs at precise locations with a s
Externí odkaz:
http://arxiv.org/abs/2410.17653
Autor:
Yu, Yi, Ge, Junyu, Luo, Manlin, Seo, In Cheol, Kim, Youngmin, Eng, John J. H., Lu, Kunze, Wei, Tian-Ran, Gao, Weibo, Li, Hong, Nam, Donguk
Two-dimensional (2D) materials have emerged as promising candidates for next-generation integrated single-photon emitters (SPEs). However, significant variability in the emission energies of 2D SPEs presents a major challenge in producing identical s
Externí odkaz:
http://arxiv.org/abs/2410.17654
This paper proposes a method for on-demand scenario generation in simulation, grounded on real-world data. Evaluating the behaviour of Autonomous Vehicles (AVs) in both safety-critical and regular scenarios is essential for assessing their robustness
Externí odkaz:
http://arxiv.org/abs/2410.13514
This study explores the intersection of neural networks and classical robotics algorithms through the Neural Algorithmic Reasoning (NAR) framework, allowing to train neural networks to effectively reason like classical robotics algorithms by learning
Externí odkaz:
http://arxiv.org/abs/2410.11031
Autor:
Lepold, Philipp, Röddiger, Tobias, King, Tobias, Kunze, Kai, Maurer, Christoph, Beigl, Michael
Publikováno v:
UbiComp '24: Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, Pages 916 - 92
While traditional earphones primarily offer private audio spaces, so-called "earables" emerged to offer a variety of sensing capabilities. Pioneering platforms like OpenEarable have introduced novel sensing platforms targeted at the ears, incorporati
Externí odkaz:
http://arxiv.org/abs/2410.06533
Autor:
Bogdan, Krzysztof, Kunze, Markus
We construct a Hunt process that can be described as an isotropic $\alpha$-stable L\'evy process reflected from the complement of a bounded open Lipschitz set. In fact, we introduce a new analytic method for concatenating Markov processes. It is base
Externí odkaz:
http://arxiv.org/abs/2410.03516
Recently, the design of wireless receivers using deep neural networks (DNNs), known as deep receivers, has attracted extensive attention for ensuring reliable communication in complex channel environments. To adapt quickly to dynamic channels, online
Externí odkaz:
http://arxiv.org/abs/2409.02430
Foundation models have made incredible strides in achieving zero-shot or few-shot generalization, leveraging prompt engineering to mimic the problem-solving approach of human intelligence. However, when it comes to some foundation models like Segment
Externí odkaz:
http://arxiv.org/abs/2408.16310