SciELO - Scientific Electronic Library Online

 
vol.24 número2Clustered Microcalcifications Candidates Detection in Mammograms índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


Ingeniería

versão impressa ISSN 0121-750X

Resumo

FALIP, Sofia  e  DEL COGLIANO, Daniel. Generation of 3D Point Clouds with Terrestrial Laser Scanner. Georeferencing and Quality Evaluation. ing. [online]. 2019, vol.24, n.2, pp.171-197. ISSN 0121-750X.  https://doi.org/10.14483/23448393.14542.

Context:

LIDAR technique allows the 3D modeling of structures with an unprecedented resolution and millimetric precision. This technology is naturally related to Surveying, even more when models are linked to geodesic and vertical reference systems.Diverse LIDAR surveys should be geometrically linked with topographic classic techniques or with geodetic methods such as GNSS. Such linkage conditions the geometric external quality of the integrated model. In order to compare 3D models of millimetric quality through time, the accuracy of the geodetic determinations should be validated.

Method:

Two buildings that belong to the National University of La Plata were surveyed with TLS (terrestrial laser scanning). These scanners measure the visible surface. Therefore, the complete survey of any complex object requires a series of stations of registration. The final product results from the spatial vinculation of the different adjacent point clouds. In order to do that, there are different techniques.The one used in this case is that of common elements identified from neighboring stations. The results referred to a terrestrial geodetic frame were obtained through a polygonal based on measurements of total stations, automatic level and GNSS. The quality of the 3D final point clouds obtained was assessed internally considering the processing statistical parameters, and externally through the coordinates of control points obtained with independent methods.

Results:

The internal geometric quality of the point clouds generated with the TLS Trimble TX5, was estimated in 1 to 3 millimeters (1RMS). The classical topographic techniques used in the polygonal gave a coherence of 3 mm in each components, while for the georeferencing obtained with GNSS measurements was 1 cm.

Conclusions:

The internal geometric quality of the 3D models shows the capacity of representation of LIDAR and its potential for internal deformations’ analysis. The different 3D point clouds, initially dissociated,can be integrated through geodetic-topographic methods, and expressed in a suitable geodetic reference frame.

Palavras-chave : Terrestrial laser scanning; georeferencing; 3D point clouds; Language: Spanish.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )