DIFFERENTIAL ANALYSIS OF 3D SENSOR IMAGES OF SURVEY-COMPARATIVE NAVIGATION SYSTEMS

Authors

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

DOI:

https://doi.org/10.18372/1990-5548.57.13226

Keywords:

Survey-comparative navigation methods, LIDAR, cross lines, envelope of time intervals, basic elements of the form, derivative of a function, differential method of analysis.

Abstract

Survey-comparative navigation systems are used for identification of landmarks that typically in the form of spatial objects the underlying surface. The most obvious method for obtains geometric features of the spatial object is processing its three-dimensional (3D) image. For processing 3D images of the spatial objects in the form of a matrix of time intervals, it is proposed to use a differential method based on the application of the properties of the first and second of derivatives of functions. The differential method processing 3D images allows implementing algorithms for determining the boundaries of the object on the background of the underlying surface, to determine the basic elements of the form of the object, their number and proportions.

Author Biographies

O. O. Chuzha, National Aviation University, Kyiv

Avionics Department, Educational and Scientific Institute of Air Navigation

Candidate of Science (Engineering). Associate Professor

V. G. Romanenko, National Aviation University, Kyiv

Avionics Department, Educational and Scientific Institute of Air Navigation

Candidate of Science (Engineering). Associate Professor

References

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https://en.wikipedia.org/wiki/Derivative

O. O. Chuzha, N. V. Pazyura, and V. G. Romanenko, “3D model of landmarks for autonomous navigation of unmanned aerial vehicles,” Electronics & Control Systems, vol. 3, Issue 53, pp. 112–119, 2017.

O. O. Chuzha, N. V. Pazyura, and V. G. Romanenko, “Model of spatial landmarks for survey-comparative methods navigation of UAVs,” IEEE 4th International Conference “Actual Problems of Unmanned Aerial Vehicles Developments.” October, 17-19, 2017, pp. 32–36.

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THEORY AND METHODS OF SIGNAL PROCESSING