3D MODEL OF LANDMARKS FOR AUTONOMOUS NAVIGATION OF UNMANNED AERIAL VEHICLES

Authors

  • O. O. Chuzha National Aviation University, Kyiv
  • N. V. Pazyura National Aviation University, Kyiv
  • V. G. Romanenko National Aviation University, Kyiv

DOI:

https://doi.org/10.18372/1990-5548.53.12152

Keywords:

Survey-comparative navigation methods, geometric features, basic elements of the form, mathematical model of the object, the probability of correct solution of the recognition problem.

Abstract

Almost all unmanned aerial vehicles are equipped with inspection earth surface systems that can be used to obtain information about the location of the aircraft using survey-comparative navigation methods. The autonomous determination of unmanned aerial vehicle coordinates with the use of survey-comparative methods of navigation is to finding landmarks whose location is known by their geometric characteristics. Most precisely, the geometric characteristics of 3D object can be obtained using its mathematical model, based on the basic elements of the form. A mathematical model of an object can be represented in the form of two matrices, the elements of which contain information about the shape of the object and the underlying surface, their size and reflective characteristics. The result of determining the location of the unmanned aerial vehicle is the correct solution to the task of recognizing landmarks. In real conditions, it is very difficult to determine the angles of orientation of objects in advance, so it is necessary to apply the mathematical model of the object and determine its characteristics for different orientation angles in relation to the unmanned aerial vehicle. Consequently, the high probability of detecting the landmark is achieved by applying its mathematical 3D model and determining two independent signs of volume and average height for its recognition, it is depending on the angles of its orientation and geometric shape.

Author Biographies

O. O. Chuzha, National Aviation University, Kyiv

Avionics Department, Educational & Scientific Institute of Air Navigation

Candidate of Science (Engineering). Associate Professor

N. V. Pazyura, National Aviation University, Kyiv

Aviation English Department

Head of Department. Doctor of Education. Professor

V. G. Romanenko, National Aviation University, Kyiv

Avionics Department, Educational & Scientific Institute of Air Navigation

Candidate of Science (Engineering). Associate Professor

References

http://www.oxts.com/technical-notes/why-is-an-inertial-navigation-system-ins-important-for-unmanned-aerial-vehicle-uav-survey-and-mapping-applications.

http://www.aggieair.usu.edu/aircraft.

V.N. Shivrinskyi, On-Board Computer and Navigation Systems. Ulyanovsk, UlGTU, 2010, 148 p. (in Russian).

Y.V. Vizilter and S.Y. Zheltov, “Problems of Technical Vision in Aviation Systems,” Computer Vision in Control Systems of the Mobile Objects. Issue 4, Moscow, KDU, 2011, pp. 11–44. (in Russian).

P. Jokitalo, E. Honkanen, I. Moring, H. Palo, and K. Rautiola, “Transputer based digital signal processing unit for A 3-D vision system,” Microprocessing and Microprogramming, vol. 27, Issue 1-5, Aug. 1989, pp. 143–146.

R.D. Richmond and S.C. Cain, Direct-Detection LADAR Systems. SPIE Publications, Bellingham, WA, 2010.

G.M. Krekov, V.M. Orlov, and V.V. Belov, Imitation Modeling in Problems of Optical Remote Sensing. Novosibirsk, Nauka SO, 1988. 165 p. (in Russian).

I.D. Faux and M.J. Pratt, Computational Geometry for Design and Manufacture, Ellis Horwood, Chichester, 1979.

L.G. Roberts, “Machine Perception of Three-Dimensional Solids,” Optical and Electro-Optical Information Processing, J. T. Tippett, et al., Eds., May 1965.

O.О. Chuzha, “Automatic survey-comparative navigational,” 5th World Congress “Aviation in the XXIst century. Safety in Aviation and Space Technologies” NAU, Sept. 25-27, 2012, pp. 3.3.48–3.3.51.

O.О. Chuzha, “The analysis of images of landmarks for survey-comparative navigation systems,” Issues of the Development of Global System of Communication, Navigation, Survey and Air Traffic Management CNS/ATM. Kyiv, NAU, 2014, 109 p. (in Ukrainian).

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Issue

Vol. 3 No. 53 (2017)

Section

MATHEMATICAL MODELING OF PROCESSES AND SYSTEMS

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