Výsledky vyhledávání - "331102 - Ingeniería de control"

Realistic correction of sky-coloured points in Mobile Laser Scanning point clouds

Autor: Elena González, Jesús Balado, Pedro Arias, Henrique Lorenzo

Publikováno v: Optics & Laser Technology, 149
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
Elsevier

The enrichment of the point clouds with colour images improves the visualisation of the data as well as the segmentation and recognition processes. Coloured point clouds are becoming increasingly common, however, the colour they display is not always

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a90e0d03ea0e045e58a3d803bfe741f7
https://doi.org/10.1016/j.optlastec.2021.107807

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POINT CLOUDS TO INDOOR/OUTDOOR ACCESSIBILITY DIAGNOSIS

Autor: J. Balado, L. Díaz-Vilariño, P. Arias, I. Garrido

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2-W4, Pp 287-293 (2017)
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W4

This work presents an approach to automatically detect structural floor elements such as steps or ramps in the immediate environment of buildings, elements that may affect the accessibility to buildings. The methodology is based on Mobile Laser Scann

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbef91c97390ef17daa32e04fc0f0158
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W4/287/2017/isprs-annals-IV-2-W4-287-2017.pdf

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Automated Inspection of Railway Tunnels’ Power Line Using LiDAR Point Clouds

Autor: Mario Soilán, Pedro Arias, Manuel Cabaleiro, Ana Sánchez-Rodríguez

Publikováno v: Remote Sensing, Vol 11, Iss 21, p 2567 (2019)
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
Remote Sensing; Volume 11; Issue 21; Pages: 2567
Remote Sensing

Transport networks need periodic inspections to increase their safety and improve their management. In the last few years, LiDAR (light detection and ranging) technology has become a tool for helping to create a precise database of almost any type of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fc6227dc96a7be005cb9577e6e427fe
https://www.mdpi.com/2072-4292/11/21/2567

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Comparison of heuristic and deep learning-based methods for ground classification from aerial point clouds

Autor: J. Balado, Belén Riveiro, Mario Soilán, Pedro Arias

Publikováno v: Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
International Journal of Digital Earth

The automatic definition of the ground from 3D point clouds has been a common process for the last two decades, with many different approaches and applications that can be found in a vast literature. This paper presents a comparison of three differen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71ae7392b118f08d5a5e56c97b6bd02f
https://hdl.handle.net/11093/1334

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Clasificación y modelado de entornos urbanos a partir de nubes de puntos para el diagnosis de la accesibilidad física y el cálculo de rutas para peatones

Autor: Balado Frías, Jesús

Publikováno v: Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)

The main objective of the PhD thesis is the route calculation (pathfinding) in urban environments adjusted to different mobility profiles. It is necessary the automatic extraction of geometric, topologic and semantic information from urban as-built z

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bd64d9fb0cfb1b2fa7f6d7f36f853c26
https://hdl.handle.net/11093/1243

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Point clouds for direct pedestrian pathfinding in urban environments

Autor: Lucía Díaz-Vilariño, Pedro Arias, Henrique Lorenzo, J. Balado

Publikováno v: ISPRS Journal of Photogrammetry and Remote Sensing

Pathfinding applications for the citizen in urban environments are usually designed from the perspective of a driver, not being effective for pedestrians. In addition, urban scenes have multiple elements that interfere with pedestrian routes and navi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42439d90b104cd083d495b8be1c0e94f

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PEDESTRIAN PATHFINDING IN URBAN ENVIRONMENTS: PRELIMINARY RESULTS

Autor: J. Balado, Lucía Díaz-Vilariño, G. López-Pazos, Marco Scaioni, Pedro Arias

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-5-W1, Pp 35-41 (2017)
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)

With the rise of urban population, many initiatives are focused upon the smart city concept, in which mobility of citizens arises as one of the main components. Updated and detailed spatial information of outdoor environments is needed to accurate pa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f74a54f20bf505664885a9ed5697dc68
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-5-W1/35/2017/

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Automatic CORINE land cover classification from airborne LIDAR data

Autor: Pedro Arias, L. M. González-deSantos, Lucía Díaz-Vilariño, J. Balado

Publikováno v: Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
KES

Point clouds provide valuable information that is not contained in satellite or aerial images. In this work, the potential of airborne LIDAR data for automatic land cover classification following the CORINE standard is evaluated. The methodology cons

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::033b8682e6e79f58678375d61cacfeae
https://linkinghub.elsevier.com/retrieve/pii/S1877050918311967

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Automatic classification of urban ground elements from mobile laser scanning data

Autor: Higinio González-Jorge, Lucía Díaz-Vilariño, J. Balado, Pedro Arias

Publikováno v: Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)

Accessibility diagnosis of as-built urban environments is essential for path planning, especially in case of people with reduced mobility and it requires an in-depth knowledge of ground elements. In this paper, we present a new approach for automatic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ba605d9bd991c3ff93a298fb9003c79
https://linkinghub.elsevier.com/retrieve/pii/S092658051730153X

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Automatic building accessibility diagnosis from point clouds

Autor: Mario Soilán, Pedro Arias, Lucía Díaz-Vilariño, J. Balado

Publikováno v: Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)

Building accessibility diagnosis is of high interest especially in case of people with reduced mobility. This paper proposes a methodology for automated detection of inaccessible steps in building façade entrances from MLS (mobile laser scanner) dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc8c6fd7446e02b0f7ff982637e4a168
http://hdl.handle.net/11093/1352

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