Abstract:
The paper presents the results of research in the field of the development of technologies for processing heterogeneous information from the UAV onboard machine vision system with the aim of UAV navigation and control. The main problems of information processing for UAV navigation and control are considered; general tasks to be solved for mission planning and performing are formulated. The key problems of the unmanned aerial vehicle (UAV) machine vision system are multiband image processing and fusion (both for flight planning and onboard processing), object detection and localization, object tracking, object recognition. Modern methods of object detection, recognition and tracking are analyzed. Advanced techniques and algorithms are compared, and the most effective ones are determined. New original methods are proposed for multiband images fusion based on diffuse morphology. The original methods are developed for deep machine learning, which provide high probabilities of given object detection and recognition. The database of model images for machine learning algorithms is created. The characteristics of the developed algorithms and results of their tests on model and real data are presented.
Keywords:
intelligent data processing; unmanned aerial vehicle; machine vision; data fusion; object detection and recognition; object tracking; deep machine learning; modeling.
Bibliographic databases:
Document Type:
Article
UDC:
004.93
Language: Russian
Citation:
Yu. V. Vizilter, B. V. Vishnyakov, O. V. Vygolov, V. S. Gorbatsevich, V. A. Knyaz, “Intelligent Data Processing Technologies for Unmanned Aerial vehicles Navigation and Control”, Tr. SPIIRAN, 45 (2016), 26–44
\Bibitem{VizVisVyg16}
\by Yu.~V.~Vizilter, B.~V.~Vishnyakov, O.~V.~Vygolov, V.~S.~Gorbatsevich, V.~A.~Knyaz
\paper Intelligent Data Processing Technologies for Unmanned Aerial vehicles Navigation and Control
\jour Tr. SPIIRAN
\yr 2016
\vol 45
\pages 26--44
\mathnet{http://mi.mathnet.ru/trspy863}
\crossref{https://doi.org/10.15622/sp.45.2}
\elib{https://elibrary.ru/item.asp?id=25920712}
Linking options:
https://www.mathnet.ru/eng/trspy863
https://www.mathnet.ru/eng/trspy/v45/p26
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V. Chepkyi, V. Skachkov, O. Yefymchykov, V. Nabok, O. Sergeev, O. Yelchaninov, “METHODOLOGICAL DESCRIPTION OF THE PROBLEM OF STABILIZATION OF THE ADAPTIVE CONTROL SYSTEM MOBILE STRUCTURES OF A GROUND-BASED ROBOTIC COMPLEX IN DISTURBED ENVIRONMENTS”, Coll. of scient. wks. of Odesa Mil. Acad., 1:12 (2019), 5
A M Groshev, S M Groshev, A V Tumasov, A D Romanov, “Carriageway actual parameters determination system development to form virtual road scene in the authentically recognizable road marking absence and negative obstacle presence”, IOP Conf. Ser.: Mater. Sci. Eng., 315 (2018), 012009
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