Searched for: subject%3A%22point%22
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Kuschnerus, M. (author), Lindenbergh, R.C. (author), Vos, S.E. (author), Hanssen, R.F. (author)
In the view of climate change, understanding and managing effects on coastal areas and adjacent cities is essential. Permanent Laser Scanning (PLS) is a successful technique to not only observe notably sandy coasts incidentally or once every year, but (nearly) continuously over extended periods of time. The collected point cloud observations...
journal article 2023
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author), Vermeij, M. J. (author)
Current mobile systems are capable of efficiently acquiring dense urban point clouds. Still, operational use of such data is hampered by the lack of efficient object extraction methodology. Notably methodology is lacking for automatically extracting objects that do not belong to the road furniture like street signs and light poles but do...
journal article 2022
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author)
Three-dimensional (3D) geometric bridge models play an important role in bridge inspection, assessment, and management. Laser scanning nowadays offers a cost-efficient method to capture dense, accurate 3D topographic data of surfaces of the bridge. However, given the typical complexity of bridges, current workflows using commercial software...
journal article 2022
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author)
In construction projects, inspection of structural components mostly relies on classical measurements obtained by measuring tapes, levelling, or total stations. With those methods, only a few points on the structure can be measured, and the resulting inspection may not fully reflect the actual, detailed condition of the complete object. Laser...
journal article 2022
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Daghigh, Hamid (author), Tannant, Dwayne D. (author), Daghigh, Vahid (author), Lichti, Derek D. (author), Lindenbergh, R.C. (author)
Field investigations of geometric discontinuity properties in rock masses are increasingly using three-dimensional point cloud data. These point clouds sample the rock mass surface and are typically acquired by photogrammetry or LiDAR. The automatic segmentation and extraction of planar surfaces from point cloud data have attracted...
review 2022
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Meinderts, J. P. (author), Lindenbergh, R.C. (author), Van Der Heide, D. H. (author), Amiri Simkooei, A. (author), Truong-Hong, Linh (author)
This paper introduces a method to automatically estimate vertical and horizontal clearances of highway viaducts and gantries from Mobile Laser Scanner (MLS) point clouds. It is essential to have accurate data on the vertical and horizontal clearances of overhead infrastructure objects along the highway. Accurate clearance data is used for...
journal article 2022
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Bai, Q. (author), Lindenbergh, R.C. (author), Vijverberg, J. (author), Guelen, J. A.P. (author)
Functional classification of the road is important to the construction of sustainable transport systems and proper design of facilities. Mobile laser scanning (MLS) point clouds provide accurate and dense 3D measurements of road scenes, while their massive data volume and lack of structure also bring difficulties in processing. 3D point cloud...
journal article 2021
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author), Woudenberg, Pieter (author), Gard, W.F. (author), van de Kuilen, J.W.G. (author)
Churches are part of heritage structures that take an important role in Europe ́s cultural identity. As such, these structures must be protected to prevent catastrophic collapse and any damage must be reported timely to establish planning to maintenance and restoration. This can be achievable when the churches are monitored periodically with...
conference paper 2021
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Truong-Hong, Linh (author), Nguyen, N. (author), Lindenbergh, R.C. (author), Fisk, P. (author), Huynh, T. (author)
This paper proposes a methodology to automatically extract components of an oil storage tank from terrestrial laser scanning (TLS) point clouds, and subsequently to create a three-dimensional (3D) solid model of the tank for numerical simulation. The proposed method is integrated into a smart analysis layer of a digital twin platform...
journal article 2021
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Widyaningrum, E. (author), Bai, Q. (author), Fajari, Marda K. (author), Lindenbergh, R.C. (author)
Classification of aerial point clouds with high accuracy is significant for many geographical applications, but not trivial as the data are massive and unstructured. In recent years, deep learning for 3D point cloud classification has been actively developed and applied, but notably for indoor scenes. In this study, we implement the point-wise...
journal article 2021
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Kuschnerus, M. (author), Schröder, D. (author), Lindenbergh, R.C. (author)
The advancement of permanently measuring laser scanners has opened up a wide range of new applications, but also led to the need for more advanced approaches on error quantification and correction. Time-dependent and systematic error influences may only become visible in data of quasi-permanent measurements. During a scan experiment in...
journal article 2021
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author), Nguyen, Thu Anh (author)
Purpose: Terrestrial laser scanning (TLS) point clouds have been widely used in deformation measurement for structures. However, reliability and accuracy of resulting deformation estimation strongly depends on quality of each step of a workflow, which are not fully addressed. This study aims to give insight error of these steps, and results...
journal article 2021
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Zang, Y. (author), Meng, Fancong (author), Lindenbergh, R.C. (author), Truong-Hong, Linh (author), Li, Bijun (author)
Mobile laser scanning (MLS) systems are often used to efficiently acquire reference data covering a large-scale scene. The terrestrial laser scanner (TLS) can easily collect high point density data of local scene. Localization of static TLS scans in mobile mapping point clouds can afford detailed geographic information for many specific tasks...
journal article 2021
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author)
A three-dimensional (3D) geometric model of a bridge plays an important role in inspection, assessment and management of the bridge. As most bridges were built after the second world war, 3D bridge models are rarely available. A recent development in laser scanning offers a cost-efficient method to capture dense, accurate 3D topographic data...
book chapter 2021
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author)
Defects in a construction site is inevitable and these defects must be inspected and reported timely to minimize extract cost due to repair the defects. However, in practice, quality of structural elements is often inspected by a site supervisor with traditional tools (e.g. measuring tapes, total stations or levelling) at only specific locations...
conference paper 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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Zang, Y. (author), Lindenbergh, R.C. (author), Yang, Bisheng (author), Guan, Haiyan (author)
Probabilistic registration algorithms [e.g., coherent point drift, (CPD)] provide effective solutions for point cloud alignment. However, using the original CPD algorithm for automatic registration of terrestrial laser scanner (TLS) point clouds is highly challenging because of density variations caused by scanning acquisition geometry. In...
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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Truong-Hong, Linh (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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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
Searched for: subject%3A%22point%22
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