Development of a laboratory stand for simulation of UAV flight and training of a visual navigation system based on a convolutional neural network

Authors

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

DOI:

https://doi.org/10.18372/1990-5548.51.11689

Keywords:

Unmanned aerial vehicle, visual navigation system, servo motors, step motors computer vision, primary frame, secondary frame, driver, microcontroller

Abstract

Simulated flight stand of Unmanned aerial vehicle for visual navigation system. The structureof the imitation stand is determined, and the principle of operation. The basic algorithms of work of thestand are given

Author Biographies

V. M. Sineglazov, National Aviation University

Doctor of Engineering Science. Professor.Educational & Research Institute of Information and Diagnostic Systems

V. S. Ischenko, National Aviation University

Post-graduate student. Educational & Research Institute of Information and Diagnostic Systems

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.

Zhang, S., and A. G. Constantinides (1992), “Lagrange Programming Neural Networks”, IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, vol. 39, no. 7, pp. 441–52.

Computer Vision Library (OpenCV) https://opencv/docs/org.

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Issue

Vol. 1 No. 51 (2017)

Section

COMPUTER-AIDED DESIGN SYSTEMS

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