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Environments Diagnosis by Means of Computer Vision System of Autonomous Flying Robots
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Author(s): Konstantin Dergachov (National Aerospace University – Kharkiv Aviation Institute, Ukraine), Anatolii Kulik (National Aerospace University – Kharkiv Aviation Institute, Ukraine)and Anatolii Zymovin (National Aerospace University – Kharkiv Aviation Institute, Ukraine)
Copyright: 2019
Pages: 23
Source title:
Automated Systems in the Aviation and Aerospace Industries
Source Author(s)/Editor(s): Tetiana Shmelova (National Aviation University, Ukraine), Yuliya Sikirda (Kirovograd Flight Academy of the National Aviation University, Ukraine), Nina Rizun (Gdansk University of Technology, Poland), Dmytro Kucherov (National Aviation University, Ukraine)and Konstantin Dergachov (National Aerospace University – Kharkiv Aviation Institute, Ukraine)
DOI: 10.4018/978-1-5225-7709-6.ch004
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Abstract
In this chapter, the authors present an approach to the extrinsic environs diagnostics based on using visual information collected by autonomous robots. The possibility of utilizing a computer vision for the purpose of rational control implementation in the condition of the full or partial uncertainty is investigated. In the study, the combined hardware and software computer vision tools were verified. The models, algorithms, and codes for solving the local tasks of obstacle identification and mutual location kinematic parameters estimation have been developed. A series of computational and in-kind experiments that illustrate a practical possibility of implementing the navigational environment diagnosis is carried out with the aim to select a rational flight path.
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