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ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

Editor-in-Chief

Associate Editor
Prof. Tomasz Neumann
 

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@umg.edu.pl
Fusion of Optical Flow and Dead Reckoning Algorithms for UAV Navigation Without GPS
1 Military University of Technology, Warsaw, Poland
ABSTRACT: The article presents an innovative navigation system for unmanned aerial vehicles (UAVs) operating in environments with limited or unavailable GPS signal. The developed solution integrates dead reckoning navigation methods with advanced computer vision algorithms utilizing optical flow analysis, enabling precise drone positioning. The research includes implementation of data fusion algorithms from inertial measurement units (IMU) and analysis of image sequences from a downward-facing camera. Experimental results from tests conducted in both simulated environments and on real flight platforms are presented. The study demonstrates that the application of optical flow techniques significantly improves dead reckoning navigation accuracy in GPS-denied conditions, reducing the accumulating position error. The proposed system offers a promising solution for UAV operations in challenging navigation conditions, such as urban areas, indoor environments, or regions with electromagnetic interference.
KEYWORDS:
REFERENCES
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Citation note:
Walczak J., Szykuła B., Targowski P., Pałys T.: Fusion of Optical Flow and Dead Reckoning Algorithms for UAV Navigation Without GPS. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 19, No. 4, doi:10.12716/1001.19.04.02, pp. 1069-1074, 2025
Authors in other databases:
Jakub Walczak:
Bartłomiej Szykuła:
Piotr Targowski:

Other publications of authors:


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