<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=163744"><dc:title>Scan to BIM for bridges</dc:title><dc:creator>Ojage Agbor,	Tina	(Avtor)
	</dc:creator><dc:creator>Grigillo,	Dejan	(Mentor)
	</dc:creator><dc:creator>Brank,	Boštjan	(Komentor)
	</dc:creator><dc:creator>Urbančič,	Tilen	(Komentor)
	</dc:creator><dc:subject>master thesis</dc:subject><dc:subject>scan to BIM</dc:subject><dc:subject>automation</dc:subject><dc:subject>parametric modelling</dc:subject><dc:subject>scan to BrIM</dc:subject><dc:subject>laser scanning</dc:subject><dc:description>The automatic generation of the BIM model of a bridge from point clouds is important for accurate monitoring and management of the structure. The integration of BIM with point cloud data offers a powerful method for capturing and analyzing the geometric properties of civil infrastructure, particularly bridges. This thesis explores the process of creating a BIM model from point cloud data, specifically focusing on the geometric representation of a bridge. Using appropriate tools, point cloud data obtained from 3D laser scanner was processed to generate a detailed 3D model. The methodology involves converting the raw data into a structured BIM format, enabling the extraction of precise geometric properties necessary for maintenance, engineering analysis, and optimization. The results demonstrate the accuracy and efficiency of point cloud-to-BIM conversion, emphasizing its potential to enhance bridge design, inspection, monitoring and lifecycle management. Challenges such as data density, noise, and the complexity of bridge components were addressed, leading to a refined approach that ensures a high degree of geometric fidelity. The findings highlight the practical benefits of this integration, providing a foundation for future developments in automated infrastructure modeling. This work underscores the significance of point cloud-based BIM in bridge engineering and suggests areas for further research to improve the process and expand its applications.</dc:description><dc:publisher>[T. Ojage Agbor]</dc:publisher><dc:date>2024</dc:date><dc:date>2024-10-10 11:09:19</dc:date><dc:type>Magistrsko delo/naloga</dc:type><dc:identifier>163744</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
