A Rational Approach to the Problem of Accurate UAV Landing Using Intelligent Image Processing Methods

Authors

  • David G. Asatryan Institute for Informatics and Automation Problems of NAS RA
  • Vardan V. Kurkchiyan Institute for Informatics and Automation Problems of NAS RA
  • Grigor S. Sazhumyan Institute for Informatics and Automation Problems of NAS RA

DOI:

https://doi.org/10.51408/1963-0064

Keywords:

UAV, Լanding, platform, image structural properties, similarity measure, image orientation

Abstract

This paper is devoted to the description of preliminary results of solving two problems related to the problem of accurate unmanned aerial vehicle (UAV) landing. The first task is to develop a methodology for rational choice of the landing platform image, which ensures the best recognition by an UAV from any angle and a reasonable observation distance. The second task is to develop a procedure for a sequential analysis of the current situation, forthcoming of the UAV to the platform and accurate landing. To solve these problems, it is proposed to use the previously developed intelligent processing methods based on the using of the structural properties of an image. In particular, the technique is applied using the Weibull distribution model for the gradient magnitude of an image and its components. Numerical results are presented that show the prospects of the proposed procedures and the directions for improving the developed techniques.

References

А. Е. Косова, А. М. Кориков, “Автоматическая посадка малых беспилотных летательных аппаратов с использованием компьютерного зрения”, Доклады ТУСУРа, том 20, № 3, сс.191-196, 2017.

D. Scaramuzza, S. Weiss and R. Siegwart, “MAV navigation through indoor corridors using optical flow”, Robotics and Automation (ICRA) – IEEE International Conference on (Anchorage, AK, USA), pp. 3361–3368, 2010.

К. В. Иванников, А. В. Гаврилов, А. С. Боев, И. С. Шошиню Способ посадки беспилотного летательного аппарата вертолетного типа с использованием инфракрасной камеры. Вестник Концерна ВКО «Алмаз – Антей», № 3, с. 67-73, 2016.

G. Anitha Dr. and R. N. GireeshKumar, “Vision based autonomous landing of an unmanned aerial vehicle”, Elsevier, Procedia Engineering, vol. 38, pp. 2250-2256, 2012.

J. Wubben, F. Fabra, C. T. Calafate, T. Krzeszowski, J. M. Marquez-Barja, Juan-Carlos Cano and P. Manzoni, “Accurate Landing of Unmanned Aerial Vehicles Using Ground Pattern Recognition”, Electronics, doi:10.3390/electronics8121532, vol. 8, no. 12, pp. 1-16, 2019.

A. Gautam, P. B. Sujit and S. Saripalli, “A survey of autonomous landing techniques for UAVs”, IEEE International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1210- 1218, 2014.

D. Asatryan, K. Egiazarian, “Quality assessment measure based on image structural properties”, Proc. of the International Workshop on Local and Non-Local Approximation in Image Processing, Finland, Helsinki, pp. 70-73, 2009.

D. Asatryan, K. Egiazarian and V. Kurkchiyan, “Orientation estimation with applications to image analysis and registration” International Journal “Information Theories and Applications”, vol. 17, no. 4, pp. 303-311, 2010. Erratum in International Journal “Information Theories and Applications”, vol. 24, no. 4, p. 397, 2017.

Д. Г. Асатрян, В. В. Куркчиян, Л. Р. Харатян, “Метод классификации текстур с использованием структурных характеристик изображения”, Компьютерная оптика, N.3, с. 574-579, 2014.

D. G. Asatryan, “Structure-based technique for object detecting in UAV imagery”, Mathematical Problems of Computer Science, vol. pp. 44, 51-58, 2015.

D. Asatryan, S. Hovsepyan and V. Kurkchiyan, “Road tracking from UAV imagery using gradient information”, International Journal "Information Technologies & Knowledge", vol. 10, no. 2, pp. 191-199, 2016.

D. G. Asatryan, “Image blur estimation using gradient field analysis”, [In Russian]. Computer Optics, vol. 41, no. 6, pp. 957-962, 2017. http://computeroptics.smr.ru/KO/PDF/KO41-6/410622.pdf

D. G. Asatryan, “Gradient-based technique for image structural analysis and applications”, Computer Optics, DOI: 10.18287/2412-6179-2019-43-2-245-250. vol. 43, no. 2, pp. 245- 250, 2019.

Downloads

Published

2020-12-25

How to Cite

Asatryan, D. G. ., Kurkchiyan, V. V. ., & Sazhumyan, G. S. . (2020). A Rational Approach to the Problem of Accurate UAV Landing Using Intelligent Image Processing Methods . Mathematical Problems of Computer Science, 54, 108–115. https://doi.org/10.51408/1963-0064