Optimizacija postopkov terestričnega laserskega skeniranja za meritve visoke natančnosti

doktorska disertacija

Klemen Kregar (Author), Dušan Kogoj (Mentor), Matjaž Mikoš (Thesis defence commission member), Tomaž Ambrožič (Thesis defence commission member), Mojca Kosmatin Fras (Thesis defence commission member), Tatjana Veljanovski (Thesis defence commission member)

Abstract

V disertaciji se ukvarjamo z optimizacijo postopkov terestričnega laserskega skeniranja, ker želimo povečati natančnost in zanesljivost rezultatov ter zmanjšati čas in stroške za izvedbo postopka. Glavni namen je kalibracija laserskega skenerja, ki jo želimo nadgraditi s postopki strojnega učenja. Za izvedbo kalibracije vzpostavimo postopek preciznega določanja centrov tarč iz skenogramov. Predlagamo robusten postopek visoke natančnosti, s katerim ovrednotimo tudi natančnost meritev s skenerjem. Vzpostavili smo dve kalibracijski bazi, v katerih smo položaje točk določili s klasično geodetsko metodologijo z najvišjo dosegljivo natančnostjo. Izdelali smo lasten program za izravnavo samokalibracije z izvirnim načinom zagotovitve geodetskega datuma. Na kalibracijskih bazah smo kalibrirali dva terestrična laserska skenerja. Rezultate samokalibracije smo uporabili za določanje dodatnih sistematičnih pogreškov meritev, pri čemer smo uporabili klasično analizo z izravnavo krivulj ter strojno učenje. Prikazana sta dva praktična primera uporabe terestričnega laserskega skeniranja za naloge, kjer je zahtevana visoka natančnost meritev in rezultatov. V termoelektrarni Brestanica preverjamo odklon visokih dimnikov od navpičnice, na pregradi Melje na Dravi pa preizkušamo zaznavanje spremembe oblike ali položaja prelivne stene z inovativno metodo statističnega testiranja sprememb parametrov ravnine.

Keywords

Grajeno okolje;geodezija;disertacije;terestrično lasersko skeniranje;kalibracija;strojno učenje;deformacijska analiza;

Data

Language:	Slovenian
Year of publishing:	2016
Typology:	2.08 - Doctoral Dissertation
Organization:	UL FGG - Faculty of Civil and Geodetic Engineering
Publisher:	[K. Kregar]
UDC:	528.5-187:528.02:(043)
COBISS:	7778913
Views:	2450
Downloads:	714
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Optimization of terrestrial laser scanner procedures for high accuracy measurements
Secondary abstract:	The thesis deals with the optimization of terrestrial laser scanning procedures in terms of increasing the accuracy and reliability of the results and reducing the time and cost of the procedure. The main intent of the dissertation is to calibrate the laser scanner and upgrade it with machine learning procedures. In order to carry out the calibration, we need to establish the procedure for precisely determining the target centers from the scans. We propose a robust high precision process with which we also veri�ed the accuracy of the scanner. Two calibration �elds were established and within them we determined the positions of the points with the classical geodetic methodology with the highest achievable accuracy. We developed self-calibration software with an original method for de�ning geodetic datum. Two terrestrial laser scanners were calibrated on the calibration �elds. The self-calibration results were used to determine the additional systematic errors of the measurements at which we used the classical analysis with curve adjustment as well as machine learning. Two practical examples of the application of the terrestrial laser scanning for tasks that require high accuracy measurements and results are shown. In the thermal power plant Brestanica we determined the inclination of its high chimneys. On the high barrier on the Drava River we tried to detect changes in the shape or position of the over ow wall with the use of an innovative method of statistically testing the changes of the plane parameters.
Secondary keywords:	Built Environment;geodesy;doctoral thesis;terrestrial laser scanning;calibration;machine learning;deformation analysis;
URN:	URN:NBN:SI
File type:	application/pdf
Type (COBISS):	Doctoral dissertation
Thesis comment:	Univ. v Ljubljani, Fak. za gradbeništvo in geodezijo
Pages:	XVIII, 135 str.
ID:	9226494