Explotación de tecnoloxías de mapeado móbil para a inspección automatizada de pavimentos de estradas
Year: 2023
Type: dissertation
Abstract: The present thesis is focused on the development of methodologies for the exploitation of remote monitoring systems with the aim of obtaining information on land transport infrastructures and their environment, focusing on the segmentation of road assets and pavement analysis for the detection of pathologies. MLS (Mobile Laser Scanner) systems, capable of generating point clouds representing the geometry of the infrastructure, will be mainly used for data collection. The information obtained with other monitoring means, such as photographic images, will be used to increase the knowledge about the scenario to be analyzed. Algorithms in Matlab and Python will be developed as part of heuristic methodologies for the segmentation of point clouds and the detection of pathologies in the road pavement, mainly cracks. The use of Machine Learning tools for these tasks will also be explored. The results achieved will be compared with those obtained using traditional inspection techniques, with the intention of assessing the improvements in working times and safety of the work thanks to the automation of tasks.
Author: Del Rio Barral, Pablo
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7046964528