Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Kirill Sviatov"'
Autor:
Kirill Sviatov, Nadejda Yarushkina, Daniil Kanin, Ivan Rubtcov, Roman Jitkov, Vladislav Mikhailov, Pavel Kanin
Publikováno v:
Technologies, Vol 9, Iss 4, p 100 (2021)
The article describes a structural and functional model of a self-driving car control system, which generates a wide class of mathematical problems. Currently, control systems for self-driving cars are considered at several levels of abstraction and
Externí odkaz:
https://doaj.org/article/bd632e9f0c1548999b24bace282dc380
Publikováno v:
2022 VIII International Conference on Information Technology and Nanotechnology (ITNT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51dc5bdade926bf06285f125a9204bfb
https://doi.org/10.1109/itnt55410.2022.9848596
https://doi.org/10.1109/itnt55410.2022.9848596
Publikováno v:
АВТОМАТИЗАЦИЯ ПРОЦЕССОВ УПРАВЛЕНИЯ. 63:110-118
The article describes an approach to the creation of an experience base for a software design organization, which is focused on its application in the development of software-intensive automated systems (AS). The use of the proposed experience base e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23a625101088e78c5354efa3acd71a81
https://doi.org/10.35752/1991-2927-2021-1-63-110-118
https://doi.org/10.35752/1991-2927-2021-1-63-110-118
Publikováno v:
Neurocomputing. 400:73-85
Artificial neural networks experience serious catastrophic forgetting (or interference) when information is learned sequentially. A significant effort in the machine learning community is devoted to the solution of this problem. Many approaches to ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f6f1f059d12ccc3219bf7e1b29369d3
https://doi.org/10.1016/j.neucom.2020.03.024
https://doi.org/10.1016/j.neucom.2020.03.024
Publikováno v:
Автоматизация Процессов Управления. 61:70-79
The article describes an approach to the implementation of a software package for determining the probability of a collision of a mobile robot with obstacles. This approach is based on a neural network model with attention. Key feature is the method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0a18915c5d3cdab6742924eead832f6
https://doi.org/10.35752/1991-2927-2020-3-61-70-79
https://doi.org/10.35752/1991-2927-2020-3-61-70-79
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030870126
ICCSA (9)
ICCSA (9)
This article describes an approach to automatic recognition of charts images using neural networks with hybrid deep learning model, which allows to extract data from an image and use this data to quickly find information, as well as to describe chart
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a882b02bd4e54900b8b7abc284a3f6eb
https://doi.org/10.1007/978-3-030-87013-3_29
https://doi.org/10.1007/978-3-030-87013-3_29
Publikováno v:
Recent Research in Control Engineering and Decision Making ISBN: 9783030652821
This article describes a software package for analyzing images from the camera of a mobile robot using neural networks. A key feature of the proposed solution is the model that generates recommendations for the robot about the direction of the furthe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5703172c53cc0b7e6c621ec2bbbaabe
https://doi.org/10.1007/978-3-030-65283-8_22
https://doi.org/10.1007/978-3-030-65283-8_22
Publikováno v:
Автоматизация процессов управления. 57:65-72
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf6ae39bc6b2417da5a5cbf3254651fa
https://doi.org/10.35752/1991-2927-2019-3-57-65-72
https://doi.org/10.35752/1991-2927-2019-3-57-65-72
Publikováno v:
Computational Science and Its Applications – ICCSA 2020 ISBN: 9783030588168
ICCSA (6)
ICCSA (6)
This article describes the design process of a software package for image recognition of a mobile robot camera using neural networks with attention, which allows to identify the probability of a robot colliding with obstacles standing in its way. A k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1863255682d77e7f9888ac603491521b
https://doi.org/10.1007/978-3-030-58817-5_72
https://doi.org/10.1007/978-3-030-58817-5_72
Scenes Segmentation in Self-driving Car Navigation System Using Neural Network Models with Attention
Publikováno v:
Computational Science and Its Applications – ICCSA 2019 ISBN: 9783030243074
ICCSA (5)
ICCSA (5)
The article describes the design process of a software module for the road signs recognition used for the self-driving car, developed at the Ulyanovsk State Technical University (UlSTU) at the Faculty of Information Systems and Technologies in cooper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26a706eb9e0a0183b07e4023f5127f07
https://doi.org/10.1007/978-3-030-24308-1_23
https://doi.org/10.1007/978-3-030-24308-1_23