ALGORITHMIC SUPPORT OF THE VISUAL NAVIGATION SYSTEM

Authors

  • V. M. Sineglazov National Aviation University, Kyiv
  • V. S. Ischenko National Aviation University, Kyiv

DOI:

https://doi.org/10.18372/1990-5548.62.14386

Keywords:

Visual navigation system, convolutional neural network, computer vision, local features of the image, detectors, descriptors of local features, layers of software architecture, operating system processes, satellite navigation system, inertial navigation s

Abstract

Article discusses the implementation of software architecture and algorithmic support for a visual navigation system on-board computer, which imposes restrictions on computing power in the implementation. Partitioning algorithms by logic is proposed, thus logic splitting by layers and can be processed separately on different hardwares. Also in this papper overview of obtaining gps coordinates from pixel shifting is presented. Simple runtime processes and diagnostic operational visual navigation system module is given.

Author Biographies

V. M. Sineglazov, National Aviation University, Kyiv

Aviation Computer-Integrated Complexes Department

Doctor of Engineering Science. Professor. Head of the Department

orcid.org/0000-0002-3297-9060

V. S. Ischenko, National Aviation University, Kyiv

Aviation Computer-Integrated Complexes Department

 

References

V. A. Rogoshyn, V. M. Sineglazov and N. K. Filyashkin, Flight Navigation Complexes of Aircrafts. Kyiv, NAU, 2004, 238 p. (in Ukrainian).

Flight controller Pixhawk http://pixhawk.org

Paul D. Groves, Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems. Second Edition (Artech House Remote Sensing Library) 2nd Edition, 2008, 503 p.

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Issue

Vol. 4 No. 62 (2019)

Section

COMPUTER-AIDED DESIGN SYSTEMS

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