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This article is cited in 2 scientific papers (total in 2 papers)
Means of Computer Facilities and Control Systems
Methods of study requirements for the complex robotic vision system
D. S. Chirov, O. G. Chertova, T. N. Potapchuk Chief Research and Testing Center of Robotics of the Ministry of Defense
Abstract:
The article presents a methodology for substantiation of requirements for the technical vision system of a robotic complex. A technical vision system of the robotic complex is viewed as a combination of two subsystems: measurement and recognition. To implement the methodology we developed methods for calculating partial optimality criteria for substantiation of the technical requirements and evaluation of search area of the optimal values of measuring instruments characteristics of the technical vision system of a robotic complex; a recursive procedure for choosing the optimal values of measuring instruments characteristics of the technical vision system; a scheme of trade-off for evaluating the optimal technical requirements for advanced measurement instruments of the technical vision system in different technical and economical conceptions.
The search for optimal solution is done according to partial optimality criteria: recognition efficiency, the cost and risks of creating measuring instruments. For creating the recursive procedure based on formulated assumptions and assertions, a criterion, which provides the search of Pareto-optimal solutions, was synthesized. The developed methodology takes into account the existing (more suitable) technical and economical conceptions of creating a robotic complex while choosing trade-offs.
Keywords:
Robotic complex; Technical vision; Recognition; Measuring instruments; Methods of optimization; Compromises; Recursive procedure.
Citation:
D. S. Chirov, O. G. Chertova, T. N. Potapchuk, “Methods of study requirements for the complex robotic vision system”, Tr. SPIIRAN, 51 (2017), 152–176
Linking options:
https://www.mathnet.ru/eng/trspy939 https://www.mathnet.ru/eng/trspy/v51/p152
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Abstract page: | 280 | Full-text PDF : | 198 |
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