Zobrazeno 1 - 10
of 1 456
pro vyhledávání: '"Bobrovsky, A."'
Object detection is a significant field in autonomous driving. Popular sensors for this task include cameras and LiDAR sensors. LiDAR sensors offer several advantages, such as insensitivity to light changes, like in a dark setting and the ability to
Externí odkaz:
http://arxiv.org/abs/2412.05594
Publikováno v:
Безопасность информационных технологий, Vol 31, Iss 4, Pp 141-152 (2024)
The paper analyzes the features of the experimental evaluation of the cross sections of single event effects (SEE) under the influence of pulsed ion beams. The main reasons that can distort the results of the experiment are multiple ion exposures to
Externí odkaz:
https://doaj.org/article/2867af1d34e04095b6062c9e2891717e
Lane detection plays a crucial role in autonomous driving by providing vital data to ensure safe navigation. Modern algorithms rely on anchor-based detectors, which are then followed by a label-assignment process to categorize training detections as
Externí odkaz:
http://arxiv.org/abs/2309.15204
Publikováno v:
Безопасность информационных технологий, Vol 31, Iss 3, Pp 148-156 (2024)
The paper analyzes the features of the experimental evaluation of the single event effects (SEE) cross section dependence on linear energy transfer (LET) for ions with energies above 100 MeV/nucleon. Ion energy degraders use in order to change the va
Externí odkaz:
https://doaj.org/article/9e5d3761ab444df1b488d6df4f3523d7
Autor:
O.A. Lashin, V.V. Bobrovsky
Publikováno v:
Вестник Камчатской региональной ассоциации "Учебно-научный центр". Серия: Науки о Земле, Vol 62, Iss 2, Pp 100-108 (2024)
The work is devoted to the practical aspect of separation of pulse-type signals of lithospheric origin in the recorded electromagnetic field by their shape. Experiments on registration of electromagnetic field signals in a wide frequency range have b
Externí odkaz:
https://doaj.org/article/975ed5253a004d9e91fbe268c8d6c15a
Transformer networks have been a focus of research in many fields in recent years, being able to surpass the state-of-the-art performance in different computer vision tasks. A few attempts have been made to apply this method to the task of Multiple O
Externí odkaz:
http://arxiv.org/abs/2210.13570
The goal of multi-object tracking (MOT) is detecting and tracking all the objects in a scene, while keeping a unique identifier for each object. In this paper, we present a new robust state-of-the-art tracker, which can combine the advantages of moti
Externí odkaz:
http://arxiv.org/abs/2206.14651
Autor:
Bobrovsky, Alexey, Svyakhovskiy, Sergey, Shibaev, Valery, Cigl, Martin, Hamplova, Vera, Bubnov, Alexej
The novel phototunable photonic structures based on electrochemically etched silicon filled with four photochromic azobenzene-containing compounds, bent-shaped low molar mass substance and side-chain polymethacrylates and copolyacrylate, were prepare
Externí odkaz:
http://arxiv.org/abs/2112.04285
Autor:
Budagovsky, Ivan, Smayev, Mikhail, Baranov, Arkady, Kuznetsov, Aleksey, Zolot'ko, Alexander, Bobrovsky, Alexey
Publikováno v:
In Optical Materials September 2024 155
Publikováno v:
In Journal of Molecular Liquids 1 May 2024 401