This work aims to analyze from a metrological point of view procedures for processing of point clouds provided by a Terrestrial Laser Scanner, in order to obtain reliable information about the slopes of escape routes. This information is of great importance in defining evacuation strategies from public buildings in emergencies, and is typically provided as input for subsequent specific algorithms for evacuation planning. Based on the point cloud of building interiors obtained by Laser Scanner, the analysis explores various factors that may impact the assessment uncertainty of slopes, starting from the type of algorithm used, the parameters set and the processing strategy chosen. The analysis will be carried out using a commercial software by Leica Geosystems, used by operators of the Italian National Fire and Rescue Service, with the goal of analyzing different types of algorithms, from regression methods to meshing approaches, for comparison.

Point Cloud Processing Methods for Slope Analysis: Uncertainty Evaluation

Chiominto L.;D'Emilia G.;Natale E.
2024-01-01

Abstract

This work aims to analyze from a metrological point of view procedures for processing of point clouds provided by a Terrestrial Laser Scanner, in order to obtain reliable information about the slopes of escape routes. This information is of great importance in defining evacuation strategies from public buildings in emergencies, and is typically provided as input for subsequent specific algorithms for evacuation planning. Based on the point cloud of building interiors obtained by Laser Scanner, the analysis explores various factors that may impact the assessment uncertainty of slopes, starting from the type of algorithm used, the parameters set and the processing strategy chosen. The analysis will be carried out using a commercial software by Leica Geosystems, used by operators of the Italian National Fire and Rescue Service, with the goal of analyzing different types of algorithms, from regression methods to meshing approaches, for comparison.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/239979
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