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Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation

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Computer Vision in Control Systems-2

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 75))

Abstract

The perspective of aviation safety improvement is closely tied with the development of novel avionics solutions, aimed to enhance a flight visibility and a situation awareness of a flight crew. Such solutions include Enhanced Vision System (EVS), Synthetic Vision System (SVS), and Combined Vision System (CVS). These systems provide a supplemental view of external cabin space for a flight crew using technical vision, computer graphics, and augmented reality. The chapter addresses the general principles of the EVS/SVS/CVS development and proposes a number of original methods and algorithms for image enhancement, TV and infrared (IR) image fusion, vision based runway and obstacle detection, the SVS image creation, the EVS/SVS image fusion.

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Acknowledgements

This work was funded by the Ministry of Industry and Trade of the Russian Federation within the R&D program for IMA systems development. This work was supported by RFBR grants 13-08-01071-a, 11-08-01039-a, and 12-07-31186-mol_a.

This chapter describes the results of the joint work of a large number of people, and the authors wishes to thank all colleagues, who are working on the ESVS project and IMA R&D program in the following companies: State Research Institute of Aviation Systems, Quantum Optical Systems Co Ltd., Scientific Design Bureau of Computer Systems, Ramenskoye Design Company, JSC, Pilot-Research Center.

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Authors and Affiliations

  1. The Federal State Unitary Enterprise “State Research Institute of Aviation Systems”, 7, Viktorenko Str., Moscow, 125319, Russian Federation

    Oleg Vygolov & Sergey Zheltov

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  1. Oleg Vygolov
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  2. Sergey Zheltov
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Correspondence to Oleg Vygolov .

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Editors and Affiliations

  1. Department of Informatics and Computer Techniques, Siberian State Aerospace University, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  2. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

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Vygolov, O., Zheltov, S. (2015). Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation. In: Favorskaya, M., Jain, L. (eds) Computer Vision in Control Systems-2. Intelligent Systems Reference Library, vol 75. Springer, Cham. https://doi.org/10.1007/978-3-319-11430-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-11430-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11429-3

  • Online ISBN: 978-3-319-11430-9

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