DIFFERENTIAL ANALYSIS OF 3D SENSOR IMAGES OF SURVEY-COMPARATIVE NAVIGATION SYSTEMS
DOI:
https://doi.org/10.18372/1990-5548.57.13226Keywords:
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.
References
V. Shivrinskyi, On-board computer and navigation systems. UISTU, 2010.
O. О. Chuzha, “Automatic survey-comparative navigational,” The fifth world congress “Aviation in the XXI century,” “Safety in aviation and space technology,” September 25-27, 2012, pp. 3.3.48–3.3.51.
O. О. Chuzha, “The analysis of images of landmarks for survey-comparative navigation systems,” Materials STK “Issues of the development of global system of communication, navigation, survey and air traffic management CNS/ATM.” Kyiv: NAU, 2014, 109 p.
P. Jokitalo, E. Honkanen, I. Moring, H. Palo, and K. Rautiola, “Transputer based digital signal processing unit for a 3D vision system,” Microprocessing and Microprogramming, vol. 27, Issues 1–5, August 1989, pp. 143–146.
R. D. Richmond and S. C. Cain, Direct-Detection LADAR Systems. Bellingham, Washington, 2010.
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.
L. Roberts, Automatic perception of 3D objects, Moscow, 1973.
Downloads
How to Cite
Issue
Section
License
The scientific journal “Electronics and control systems” adheres to the principles of Open Access and provides free, immediate, and permanent access to all published materials without financial, technical, or legal barriers for readers.
All articles are published in Open Access under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Copyright
Authors who publish their works in the journal “Electronics and control systems”:
-
retain the copyright to their publications;
-
grant the journal the right of first publication of the article;
-
agree to the distribution of their materials under the CC BY 4.0 license;
-
have the right to reuse, archive, and distribute their works (including in institutional and subject repositories), provided that proper reference is made to the original publication in the journal.



