Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Multi-purpose Control of a Moving Object Using Computer Vision Algorithms. / Sotnikova, Margarita V.
Convergent Cognitive Information Technologies - 3rd International Conference, Convergent 2018, Revised Selected Papers. ред. / Vladimir Sukhomlin; Elena Zubareva. Springer Nature, 2020. стр. 231-241 (Communications in Computer and Information Science; Том 1140 CCIS).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Multi-purpose Control of a Moving Object Using Computer Vision Algorithms
AU - Sotnikova, Margarita V.
N1 - Funding Information: Supported by RFBR, research project № 18-37-00463. Publisher Copyright: © Springer Nature Switzerland AG 2020. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - The article is devoted to the design of control systems for moving objects using computer vision algorithms. The relevance of this research area is associated with the increasing use of autonomous vehicles for solving practically important tasks without human intervention. However, many of these tasks are impossible or inefficient to solve without using of visual information. The problem of visual positioning of a moving object equipped with an onboard video camera is considered. The purpose of the control is to provide the desired position of some observed object in the image plane of the camera. A mathematical model of the joint dynamics of a moving object and a set of observed points in the image plane is derived. Such joint dynamics are taken into account in control design because the camera, mounted on board, has restrictions on freedom of movement in space and on the speed of these movements. A multi-purpose approach to the synthesis of the control law is proposed, allowing to ensure the fulfillment of a set of requirements for the quality of processes in a closed-loop system in various regimes. The choice of adjustable elements of a multi-purpose structure is discussed. The application of the approach is illustrated by an example of control of a wheeled robot. The results of simulation performed in MATLAB/Simulink environment are presented.
AB - The article is devoted to the design of control systems for moving objects using computer vision algorithms. The relevance of this research area is associated with the increasing use of autonomous vehicles for solving practically important tasks without human intervention. However, many of these tasks are impossible or inefficient to solve without using of visual information. The problem of visual positioning of a moving object equipped with an onboard video camera is considered. The purpose of the control is to provide the desired position of some observed object in the image plane of the camera. A mathematical model of the joint dynamics of a moving object and a set of observed points in the image plane is derived. Such joint dynamics are taken into account in control design because the camera, mounted on board, has restrictions on freedom of movement in space and on the speed of these movements. A multi-purpose approach to the synthesis of the control law is proposed, allowing to ensure the fulfillment of a set of requirements for the quality of processes in a closed-loop system in various regimes. The choice of adjustable elements of a multi-purpose structure is discussed. The application of the approach is illustrated by an example of control of a wheeled robot. The results of simulation performed in MATLAB/Simulink environment are presented.
KW - Computer vision
KW - External disturbances
KW - Moving object
KW - Multi-purpose control
KW - Visual positioning
KW - Wheeled robot
UR - http://www.scopus.com/inward/record.url?scp=85081057704&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/4827a68f-ae22-34f3-ad01-366d049dc297/
U2 - 10.1007/978-3-030-37436-5_21
DO - 10.1007/978-3-030-37436-5_21
M3 - Conference contribution
AN - SCOPUS:85081057704
SN - 9783030374358
T3 - Communications in Computer and Information Science
SP - 231
EP - 241
BT - Convergent Cognitive Information Technologies - 3rd International Conference, Convergent 2018, Revised Selected Papers
A2 - Sukhomlin, Vladimir
A2 - Zubareva, Elena
PB - Springer Nature
T2 - 3rd International Scientific Conference on Convergent Cognitive Information Technologies, Convergent 2018
Y2 - 29 November 2018 through 2 December 2018
ER -
ID: 70833479