Searched for: subject:"Point%5C+cloud"
(1 - 20 of 89)

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Balado Frías, J. (author), González, E. (author), Verbree, E. (author), Díaz-Vilarino, L. (author), Lorenzo, H. (author)
Occlusions accompany serious problems that reduce the applicability of numerous algorithms. The aim of this work is to detect and characterize urban ground gaps based on occluding object. The point clouds for input have been acquired with Mobile Laser Scanning and have been previously segmented into ground, buildings and objects, which have...
journal article 2020
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Alkadri, M.F. (author), De Luca, Francesco (author), Turrin, M. (author), Sariyildiz, I.S. (author)
As a passive design strategy, solar envelopes play a significant role in determining building mass based on desirable sun access during a predefined period. Nowadays, advancements in the area of computational tools permit designers to develop new methods for establishing solar envelopes. However, current approaches lack an understanding of the...
journal article 2020
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Widyaningrum, E. (author), Peters, R.Y. (author), Lindenbergh, R.C. (author)
Automatic building extraction and delineation from airborne LiDAR point cloud data of urban environments is still a challenging task due to the variety and complexity at which buildings appear. The Medial Axis Transform (MAT) is able to describe the geometric shape and topology of an object, but has never been applied for building roof...
journal article 2020
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Liu, H. (author), van Oosterom, P.J.M. (author), Meijers, B.M. (author), Verbree, E. (author)
Dramatically increasing collection of point clouds raises an essential demand for highly efficient data management. It can also facilitate modern applications such as robotics and virtual reality. Extensive studies have been performed on point data management and querying, but most of them concentrate on low dimensional spaces. High...
journal article 2020
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Rutzinger, M. (author), Anders, K. (author), Bremer, M. (author), Höfle, B. (author), Lindenbergh, R.C. (author), Oude Elberink, S. (author), Pirotti, F (author), Scaioni, M. (author), Zieher, T. (author)
The 3rd edition of the international summer school "Close-range Sensing Techniques in Alpine terrain"took place in Obergurgl, Austria, in June 2019. This article reports on results from the training and seminar activities and the outcome of student questionnaire survey. Comparison between the recent edition and the past edition in 2017 shows...
journal article 2020
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Balado Frías, J. (author), González, Elena (author), Arias, Pedro (author), Castro, David (author)
Traffic signs are a key element in driver safety. Governments invest a great amount of resources in maintaining the traffic signs in good condition, for which a correct inventory is necessary. This work presents a novel method for mapping traffic signs based on data acquired with MMS (Mobile Mapping System): images and point clouds. On the...
journal article 2020
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Ruben, P.A. (author), Šileryte, R. (author), Agugiaro, G. (author)
Urban mining aims at reusing building materials enclosed in our cities. Therefore, it requires accurate information on the availability of these materials for each separate building. While recent publications have demonstrated that such information can be obtained using machine learning and data fusion techniques applied to hyperspectral...
journal article 2020
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Chen, Songlin (author), Nan, L. (author), Xia, Renbo (author), Zhao, Jibin (author), Wonka, Peter (author)
Traditional point cloud registration methods require large overlap between scans, which imposes strict constraints on data acquisition. To facilitate registration, users have to carefully position scanners to ensure sufficient overlap. In this article, we propose to use high-level structural information (i.e., plane/line features and their...
journal article 2020
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Truong, L. (author), Lindenbergh, R.C. (author)
This paper proposes a framework to automatic extract structural elements of reinforced concrete buildings from laser scanning data, which can be used in dimensional quality control and surface defect identification. The framework deploys both spatial information of a point cloud and contextual knowledge of building structures to extract the...
journal article 2020
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Alkadri, M.F. (author), De Luca, Francesco (author), Turrin, M. (author), Sariyildiz, I.S. (author)
This study proposes a voxel-based design approach based on the subtractive mechanism of shading envelopes and attributes information of point cloud data in tropical climates. In particular, the proposed method evaluates a volumetric sample of new buildings based on predefined shading performance criteria. With the support of geometric and...
journal article 2020
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Balado, Jesús (author), van Oosterom, P.J.M. (author), Díaz-Vilarino, L. (author), Meijers, B.M. (author)
Many of the point cloud processing techniques have their origin in image processing. But mathematical morphology, despite being one of the most used image processing techniques, has not yet been clearly adapted to point clouds. The aim of this work is to design the basic operations of mathematical morphology applicable to 3D point cloud data,...
journal article 2020
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Widyaningrum, E. (author), Fajari, M.K. (author), Lindenbergh, R.C. (author), Hahn, M. (author)
Automation of 3D LiDAR point cloud processing is expected to increase the production rate of many applications including automatic map generation. Fast development on high-end hardware has boosted the expansion of deep learning research for 3D classification and segmentation. However, deep learning requires large amount of high quality...
journal article 2020
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Frías, E. (author), Balado Frías, J. (author), Díaz-Vilarino, L. (author), Lorenzo, H. (author)
Room segmentation is a matter of ongoing interesting for indoor navigation and reconstruction in robotics and AEC. While in robotics field, the problem room segmentation has been typically addressed on 2D floorplan, interest in enrichment 3D models providing more detailed representation of indoors has been growing in the AEC. Point clouds...
journal article 2020
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Zhang, L. (author), van Oosterom, P.J.M. (author), Liu, H. (author)
Point clouds have become one of the most popular sources of data in geospatial fields due to their availability and flexibility. However, because of the large amount of data and the limited resources of mobile devices, the use of point clouds in mobile Augmented Reality applications is still quite limited. Many current mobile AR applications...
journal article 2020
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Ren, Shaoting (author), Menenti, M. (author), Jia, Li (author), Zhang, Jing (author), Zhang, Jingxiao (author), Li, Xin (author)
Mountain glaciers are excellent indicators of climate change and have an important role in the terrestrial water cycle and food security in many parts of the world. Glaciers are the major water source of rivers and lakes in the Nyainqentanglha Mountains (NM) region, where the glacier area has the second largest extent on the Tibetan Plateau....
journal article 2020
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Flikweert, P.L.M. (author), Peters, R.Y. (author), Díaz-Vilarino, L. (author), Voûte, R.L. (author), Staats, Bart (author)
Indoor environments tend to be more complex and more populated when buildings are accessible to the public. The need for knowing where people are, how they can get somewhere or how to reach them in these buildings is thus equally increasing. In this research point clouds are used, obtained by dynamic laser scanning of a building, since we cannot...
journal article 2019
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Du, Shenglan (author), Lindenbergh, R.C. (author), Ledoux, H. (author), Stoter, J.E. (author), Nan, L. (author)
Laser scanning is an effective tool for acquiring geometric attributes of trees and vegetation, which lays a solid foundation for 3-dimensional tree modelling. Existing studies on tree modelling from laser scanning data are vast. However, some works cannot guarantee sufficient modelling accuracy, while some other works are mainly rule-based and...
journal article 2019
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Soilán, M. (author), Lindenbergh, R.C. (author), Riveiro, B. (author), Sánchez-Rodríguez, A. (author)
During the last couple of years, there has been an increased interest to develop new deep learning networks specifically for processing 3D point cloud data. In that context, this work intends to expand the applicability of one of these networks, PointNet, from the semantic segmentation of indoor scenes, to outdoor point clouds acquired with...
journal article 2019
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Alkadri, M.F. (author), De Luca, Francesco (author), Turrin, M. (author), Sariyildiz, I.S. (author)
As a contextual and passive design strategy, solar envelopes play a great role in<br/>determining building mass based on desirable sun access during the predefined<br/>period. With the rapid evolution of digital tools, the design method of solar<br/>envelopes varies in different computational platforms. However, current<br/>approaches still lack...
conference paper 2019
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Widyaningrum, E. (author), Gorte, Ben (author), Lindenbergh, R.C. (author)
Many urban applications require building polygons as input. However, manual extraction from point cloud data is time- and labor-intensive. Hough transform is a well-known procedure to extract line features. Unfortunately, current Hough-based approaches lack flexibility to effectively extract outlines from arbitrary buildings. We found that...
journal article 2019
Searched for: subject:"Point%5C+cloud"
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