Searched for: author:"Lindenbergh, R.C."
(1 - 20 of 90)

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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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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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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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Anders, K.P. (author), Winiwarter, Lukas (author), Lindenbergh, R.C. (author), Williams, Jack G. (author), Vos, S.E. (author), Höfle, Bernhard (author)
Time series of topographic data are becoming increasingly widespread for monitoring geomorphic activity. Dense 3D time series are now obtained by near-continuous terrestrial laser scanning (TLS) installations, which acquire data at high frequency (e.g. hourly) and over long periods. Such datasets contain valuable information on topographic...
journal article 2020
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van Natijne, A.L. (author), Lindenbergh, R.C. (author), Bogaard, T.A. (author)
Nowcasting and early warning systems for landslide hazards have been implemented mostly at the slope or catchment scale. These systems are often difficult to implement at regional scale or in remote areas. Machine Learning and satellite remote sensing products offer new opportunities for both local and regional monitoring of deep-seated...
journal article 2020
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Zhou, K. (author), Lindenbergh, R.C. (author), Gorte, Ben (author), Zlatanova, S. (author)
Change detection is essential to keep 3D city models up-to-date. LiDAR data with high accuracy are used to create 3D city models. However, updating LiDAR data at state or nation level often takes around a decade. Very high resolution (VHR) stereo images, with often yearly updating rate and dense 3D information, provide an option for...
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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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
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author)
In construction projects, inspection of structural components mostly relies on typical measurements (e.g. measuring tapes, levelling or total stations). Additionally, with those methods, only a few points on the structure can be measured, and resulted inspection may not fully reflect the actual, detailed condition. Laser scanning is emerging...
conference paper 2020
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Lindenbergh, R.C. (author), Van Der Kleij, S. (author), Kuschnerus, M. (author), Vos, S.E. (author), de Vries, S. (author)
Sandy beaches are highly dynamic areas affected by different natural and anthropogenic effects. Large changes, caused by a storm for example, are in general well-understood and easy to measure. Most times, only small changes, at the centimeter scale, are occurring, but these changes accumulate significantly over periods from weeks to months....
journal article 2019
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Zhou, K. (author), Lindenbergh, R.C. (author), Gorte, Ben (author)
Up-to-date 3D city models are needed for many applications. Very-high-resolution (VHR) images with rich geometric and spectral information and a high update rate are increasingly applied for the purpose of updating 3D models. Shadow detection is the primary step for image interpretation, as shadow causes radiometric distortions. In addition,...
journal article 2019
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author)
Increasing traffic weights and aggressive environmental conditions may result in unexpected deterioration of a bridge’s components. Particularly, most bridges in Europe and US over half life span are affected by such impact. Structural deficiencies may cause partial or full collapse of bridges resulting in problems for human life, economy,...
conference paper 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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Van Der Horst, B. B. (author), Lindenbergh, R.C. (author), Puister, S. W.J. (author)
Road surface anomalies affect driving conditions, such as driving comfort and safety. Examples for such anomalies are potholes, cracks and ravelling. Automatic detection and localisation of these anomalies can be used for targeted road maintenance. Currently road damage is detected by road inspectors who drive slowly on the road to look out...
journal article 2019
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Zhou, K. (author), Chen, Y. (author), Smal, I.V. (author), Lindenbergh, R.C. (author)
Up-to-date 3D building models are important for many applications. Airborne very high resolution (VHR) images often acquired annually give an opportunity to create an up-to-date 3D model. Building segmentation is often the first and utmost step. Convolutional neural networks (CNNs) draw lots of attention in interpreting VHR images as they can...
journal article 2019
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Anders, K. (author), Lindenbergh, R.C. (author), Vos, S.E. (author), Mara, H. (author), de Vries, S. (author), Höfle, B. (author)
Geomorphic processes occur spatially variable and at varying magnitudes, frequencies and velocities, which poses a great challenge to current methods of topographic change analysis. For the quantification of surface change, permanent terrestrial laser scanning (TLS) can generate time series of 3D point clouds at high temporal and spatial...
journal article 2019
Searched for: author:"Lindenbergh, R.C."
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