Cargando…

A New Adaptive Method for the Extraction of Steel Design Structures from an Integrated Point Cloud

The continuous and intensive development of measurement technologies for reality modelling with appropriate data processing algorithms is currently being observed. The most popular methods include remote sensing techniques based on reflected-light digital cameras, and on active methods in which the...

Descripción completa

Detalles Bibliográficos
Autores principales: Burdziakowski, Pawel, Zakrzewska, Angelika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157132/
https://www.ncbi.nlm.nih.gov/pubmed/34068991
http://dx.doi.org/10.3390/s21103416
_version_ 1783699612460122112
author Burdziakowski, Pawel
Zakrzewska, Angelika
author_facet Burdziakowski, Pawel
Zakrzewska, Angelika
author_sort Burdziakowski, Pawel
collection PubMed
description The continuous and intensive development of measurement technologies for reality modelling with appropriate data processing algorithms is currently being observed. The most popular methods include remote sensing techniques based on reflected-light digital cameras, and on active methods in which the device emits a beam. This research paper presents the process of data integration from terrestrial laser scanning (TLS) and image data from an unmanned aerial vehicle (UAV) that was aimed at the spatial mapping of a complicated steel structure, and a new automatic structure extraction method. We proposed an innovative method to minimize the data size and automatically extract a set of points (in the form of structural elements) that is vital from the perspective of engineering and comparative analyses. The outcome of the research was a complete technology for the acquisition of precise information with regard to complex and high steel structures. The developed technology includes such elements as a data integration method, a redundant data elimination method, integrated photogrammetric data filtration and a new adaptive method of structure edge extraction. In order to extract significant geometric structures, a new automatic and adaptive algorithm for edge extraction from a random point cloud was developed and presented herein. The proposed algorithm was tested using real measurement data. The developed algorithm is able to realistically reduce the amount of redundant data and correctly extract stable edges representing the geometric structures of a studied object without losing important data and information. The new algorithm automatically self-adapts to the received data. It does not require any pre-setting or initial parameters. The detection threshold is also adaptively selected based on the acquired data.
format Online
Article
Text
id pubmed-8157132
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-81571322021-05-28 A New Adaptive Method for the Extraction of Steel Design Structures from an Integrated Point Cloud Burdziakowski, Pawel Zakrzewska, Angelika Sensors (Basel) Article The continuous and intensive development of measurement technologies for reality modelling with appropriate data processing algorithms is currently being observed. The most popular methods include remote sensing techniques based on reflected-light digital cameras, and on active methods in which the device emits a beam. This research paper presents the process of data integration from terrestrial laser scanning (TLS) and image data from an unmanned aerial vehicle (UAV) that was aimed at the spatial mapping of a complicated steel structure, and a new automatic structure extraction method. We proposed an innovative method to minimize the data size and automatically extract a set of points (in the form of structural elements) that is vital from the perspective of engineering and comparative analyses. The outcome of the research was a complete technology for the acquisition of precise information with regard to complex and high steel structures. The developed technology includes such elements as a data integration method, a redundant data elimination method, integrated photogrammetric data filtration and a new adaptive method of structure edge extraction. In order to extract significant geometric structures, a new automatic and adaptive algorithm for edge extraction from a random point cloud was developed and presented herein. The proposed algorithm was tested using real measurement data. The developed algorithm is able to realistically reduce the amount of redundant data and correctly extract stable edges representing the geometric structures of a studied object without losing important data and information. The new algorithm automatically self-adapts to the received data. It does not require any pre-setting or initial parameters. The detection threshold is also adaptively selected based on the acquired data. MDPI 2021-05-14 /pmc/articles/PMC8157132/ /pubmed/34068991 http://dx.doi.org/10.3390/s21103416 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Burdziakowski, Pawel
Zakrzewska, Angelika
A New Adaptive Method for the Extraction of Steel Design Structures from an Integrated Point Cloud
title A New Adaptive Method for the Extraction of Steel Design Structures from an Integrated Point Cloud
title_full A New Adaptive Method for the Extraction of Steel Design Structures from an Integrated Point Cloud
title_fullStr A New Adaptive Method for the Extraction of Steel Design Structures from an Integrated Point Cloud
title_full_unstemmed A New Adaptive Method for the Extraction of Steel Design Structures from an Integrated Point Cloud
title_short A New Adaptive Method for the Extraction of Steel Design Structures from an Integrated Point Cloud
title_sort new adaptive method for the extraction of steel design structures from an integrated point cloud
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157132/
https://www.ncbi.nlm.nih.gov/pubmed/34068991
http://dx.doi.org/10.3390/s21103416
work_keys_str_mv AT burdziakowskipawel anewadaptivemethodfortheextractionofsteeldesignstructuresfromanintegratedpointcloud
AT zakrzewskaangelika anewadaptivemethodfortheextractionofsteeldesignstructuresfromanintegratedpointcloud
AT burdziakowskipawel newadaptivemethodfortheextractionofsteeldesignstructuresfromanintegratedpointcloud
AT zakrzewskaangelika newadaptivemethodfortheextractionofsteeldesignstructuresfromanintegratedpointcloud