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Subramanyam, S. (author), Viola, Irene (author), Jansen, Jack (author), Alexiou, Evangelos (author), Hanjalic, A. (author), Cesar, Pablo (author)Technological advances in head-mounted displays and novel real-time 3D acquisition and reconstruction solutions have fostered the development of 6 Degrees of Freedom (6DoF) teleimmersive systems for social VR applications. Point clouds have emerged as a popular format for such applications, owing to their simplicity and versatility; yet,...conference paper 2022
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Liu, Zhenyu (author), van Oosterom, P.J.M. (author), Balado Frías, J. (author), Swart, Arjen (author), Beers, Bart (author)Vehicle-related ground occlusion is a common problem in MLS data. This study aims to design a detection and reconstruction method of static vehicle-related ground occlusion for MLS data. Ground extraction and vehicle segmentation are performed on the input point cloud data in advance. Then an α-shape boundary based on the prior vehicle...journal article 2022
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Fan, Guangpeng (author), Xu, Zhenyu (author), Wang, Jinhu (author), Nan, L. (author), Xiao, Huijie (author), Xin, Zhiming (author), Chen, Feixiang (author)Complexity of forest structure is an important factor contributing to uncertainty in aboveground biomass estimates. In this study, we present a new method for reducing uncertainty in forest aboveground biomass (AGB) estimation based on plot-level terrestrial laser scanner (TLS) point clouds reconstruction. The method estimates the total AGB...journal article 2022
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Meijers, B.M. (author)We investigate how PCServe, a web service for disseminating massive point clouds, performs for read-only access (i.e. a visualization application). PCServe is backed by a database model based on Space Filling Curves. By adding a virtual hierarchy of blocks to the database, we can support different visualization applications for retrieval of...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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Alkadri, M.F. (author)As part of the passive design strategy, the development of computational solar envelopes plays a major role to construct a cooperative environmental performance exchange between new buildings and their local contexts. However, the state-of-the-art computational solar envelopes pose a great challenge in understanding site characteristics from a...doctoral thesis 2021
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Widyaningrum, E. (author)A base map provides essential geospatial information for applications such as urban planning, intelligent transportation systems, and disaster management. Buildings and roads are the main ingredients of a base map and are represented by polygons. Unfortunately, manually delineating their boundaries from remote sensing data is time consuming and...doctoral thesis 2021
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Xu, Shichang (author), Cheng, Gang (author), Pang, Y. (author), Jin, Zujin (author), Kang, Bin (author)Real-time and accurate longitudinal rip detection of a conveyor belt is crucial for the safety and efficiency of an industrial haulage system. However, the existing longitudinal detection methods possess drawbacks, often resulting in false alarms caused by tiny scratches on the belt surface. A method of identifying the longitudinal rip through...journal article 2021
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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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Colucci, Elisabetta (author), Xing, Xufeng (author), Kokla, Margarita (author), Mostafavi, Mir Abolfazl (author), Noardo, F. (author), Spanò, Antonia (author)Nowadays, cultural and historical built heritage can be more effectively preserved, val-orised and documented using advanced geospatial technologies. In such a context, there is a major issue concerning the automation of the process and the extraction of useful information from a huge amount of spatial information acquired by means of...journal article 2021
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Liu, Zhenyu (author), Fu, Runnan (author), Wang, Linjun (author), Jin, Yuzhen (author), Papakostas, Theodoros (author), Mainelli, Xenia Una (author), Voûte, R.L. (author), Verbree, E. (author)Because unknown interior layouts can have serious consequences in time-sensitive situations, crisis response teams request many potential solutions for visualizing indoor environments in crisis scenarios. This research uses a game engine to directly visualize point cloud data input of indoor environments for generating clear interaction between...conference paper 2021
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Liu, H. (author), Thompson, R.J. (author), van Oosterom, P.J.M. (author), Meijers, B.M. (author)Efficient spatial queries are frequently needed to extract useful information from massive nD point clouds. Most previous studies focus on developing solutions for orthogonal window queries, while rarely considering the polytope query. The latter query, which includes the widely adopted polygonal query in 2D, also plays a critical role in...journal article 2021
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Balado Frías, J. (author), van Oosterom, P.J.M. (author), Díaz-Vilarino, L. (author), Lorenzo, H. (author)Mathematical morphology is a technique recently applied directly for point cloud data. Its working principle is based on the removal and addition of points from an auxiliary point cloud that acts as a structuring element. However, in certain applications within a more complex process, these changes to the original data represent an...journal article 2021
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Classification of airborne laser scanning point cloud using point-based convolutional neural networkZhu, Jianfeng (author), Sui, Lichun (author), Zang, Y. (author), Zheng, He (author), Jiang, Wei (author), Zhong, Mianqing (author), Ma, Fei (author)In various applications of airborne laser scanning (ALS), the classification of the point cloud is a basic and key step. It requires assigning category labels to each point, such as ground, building or vegetation. Convolutional neural networks have achieved great success in image classification and semantic segmentation, but they cannot be...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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Balado Frías, J. (author), van Oosterom, P.J.M. (author), Díaz-Vilarino, L. (author), Arias, P. (author)Although point clouds are characterized as a type of unstructured data, timestamp attribute can structure point clouds into scanlines and shape them into a time signal. The present work studies the transformation of the street point cloud into a time signal based on the Z component for the semantic segmentation using Long Short-Term Memory ...journal article 2021