Open AccessOn the methods of recognition and classification of laser reflection points based on the Terrasolid software module on the Bentley Microstation platform
Author(s) -
R. A. Dyachenko,
Dmitry Gura,
N.M. Kiryunikova,
E.D. Lesovaya,
N. I. Khusht,
G.G. Akopyan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2131/5/052100
Subject(s) - reflection (computer programming) , geodetic datum , software , computer science , object (grammar) , state (computer science) , laser , process (computing) , institution , subject (documents) , engineering management , software engineering , engineering drawing , operations research , artificial intelligence , engineering , world wide web , algorithm , programming language , optics , sociology , geography , cartography , social science , physics
Nowadays, the use of the three-dimensional laser scanning technique in performing various scientific research comes to the fore, since this technology is one of the most developed and effective methods for analyzing the state of transport infrastructure objects and geodetic monitoring. The purpose of this paper is to develop an author’s algorithm for the classification of laser reflection points, based on the specialized Terrasolid software on the Bentley Microstation platform. The object of the research is the campus of the territory of the Federal State Budgetary Educational Institution of Higher Education “Kuban State Technological University”. The subject of the research is the possibility of optimizing the process of classification of laser reflection points on the campus of the university territory. The result of the study is the author’s algorithm for the classification of laser reflection points.