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• Содержание выпуска •
• Software and Hardware for Distributed Systems and Supercomputers •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Methods for Optimal Control and Control Theory •
• Healthcare Information Systems •
Artificial Intelligence, Intelligence Systems, Neural Networks
Responsible for the Section: doctor of technical Sciences Vyacheslav Khachumov.,
candidate of technical Sciences Eugene Kurshev.
On the left: assigned number of the paper, submission date, the number
of A5 pages contained in the paper,
and the reference to the full-text PDF
/r1/pdf.jpg) .
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Article # 16_2016
25
p.
/r2/pdf.jpg)
PDF |
submitted on 10th
March 2016 displayed on
website on
26th
May
2016 Mikhail
Khachumov
Implementation
of navigation and control algorithms in aircraft’s onboard computer
systems
The actual task of the organization of processing
information and control flows in on-board computers (the solution of
problems of navigation, measurements, trajectory motion, targeting
and monitoring) with limited computing resources to support
autonomous functioning of robotic systems on the example of the
aircraft is considered. The relevance of the task is determined by
requirement of small-sized unmanned aircraft systems equipping with
hardware and software for processing telemetry target data flows
from technical vision (TV) and control systems that can operate in
real time. The proposed solutions are based on the construction of
the optimized software realizing possibility of the flexible choice
between the speed and accuracy of tasks solving. The necessary
compromise is provided by special algorithms (CORDIC algorithms,
integer algorithms, artificial neural networks (ANN)), having an
efficient hardware support from on-board computers equipped with
domestic microprocessor systems. (In Russian).
Key words: aircraft, onboard computer, control, navigation,
CORDIC, artificial neural network, integer algorithm. |
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article citation |
http://psta.psiras.ru/read/psta2016_2_35-59.pdf |
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DOI |
https://doi.org/10.25209/2079-3316-2016-7-2-35-59 |
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Article # 17_2016
11
p.
PDF |
submitted on 16th
May 2016 displayed on
website on
26th
May
2016 Alexey Agronik,
Vitaly Fralenko
Library of high-performance algorithms for
processing of data from unmanned aerial vehicle vision system
The paper describes the results of the work aimed at
developing a library of high-performance implementations of
algorithms for processing of data that received from the unmanned
aerial vehicles. The results of experimental studies are presented.
Article also presents a new interface for visual-block programming,
that allowing to create some tasks schemas in the most convenient
manner. ( in Russian).
Key words: UAV, image processing, navigation, parallel
algorithm. |
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article citation |
http://psta.psiras.ru/read/psta2016_2_61-71.pdf |
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DOI |
https://doi.org/10.25209/2079-3316-2016-7-2-61-71 |
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• Software and Hardware for Distributed Systems and Supercomputers •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Methods for Optimal Control and Control Theory •
• Healthcare Information Systems •
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