Raffaele Sarpi Montella
Scalable and Reliable Classification of Tunnels using Advanced Machine Learning Algorithms on Point Clouds.
Rel. Anna Osello, Lorenzo Bottaccioli, Matteo Del Giudice. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Civile, 2023
Abstract
ABSTARCT Building Information Modeling (BIM) has emerged as a powerful tool for managing and maintaining infrastructure, providing rich contextual information that can facilitate more effective decision-making. However, when it comes to tunnels, the absence of detailed BIM models is a common challenge, primarily due to the lack of available information. A major challenge in developing comprehensive BIM models for existing tunnels is the need for accurate and reliable survey data. In the past, surveying techniques were used that led to days and days of surveying and led to high costs. Today, however, Terrestrial Laser Scanning (TLS) is adopted instead, leading to a more precise result and shorter data acquisition times.
The aim of this thesis is to optimize and enhance the processes starting from data acquisition leading to the classified point cloud
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