Searched for: subject%3A%22LiDAR%22
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Sladić, Dubravka (author), Radulović, Aleksandra (author), Jovanović, Dušan (author), Ruskovski, Igor (author), Gavrilović, Milan (author), Šarkanović-Bugarinović, Milka (author), Govedarica, Miro (author)
LADM profile for Serbia was developed by Radulović et al. (2017) reflecting the current state of Serbian cadastral information system which is based on 2D spatial information. It also provides general discussion of the need for establishing 3D cadastre in Serbia without specific details about its possible implementations and developments. Given...
conference paper 2022
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Vonk, Arjan (author)
Mapping an environment with a Light Detection and Ranging (LiDAR) sensor through the use of a LiDAR Simultaneous Localization And Mapping (SLAM) algorithm is a powerful technology that allows for the creation of detailed 3D models. Recently various LiDAR sensors have been developed based on Micro-Electro-Mechanical System (MEMS) technology....
master thesis 2022
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van Bavel, Henri (author)
In order to improve the autonomy of construction robots, a Simultaneous Localization and Mapping (SLAM) solution is needed that localizes the robot using solely on-board sensing with sub-5 mm accuracy. As pointed out by the results of the Hilti SLAM Challenge, the state-of-the-art in SLAM currently does not offer a solution that comes close to...
master thesis 2022
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Smit, Mels (author)
Over the years, the pace at which data is generated keeps on increasing. As a consequence, the data itself no longer holds the highest value, but rather the information and context the data captures are. This principle also holds in the 3D environment modelling scene, as accurately depicting an environment holds more value than the number of...
master thesis 2022
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González, Elena (author), Balado Frías, J. (author), Arias, Pedro (author), Lorenzo, Henrique (author)
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 as expected. Errors in the colouring of point clouds acquired with Mobile Laser Scanning are...
journal article 2022
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Nurunnabi, A. (author), Teferle, F. N. (author), Laefer, D. F. (author), Lindenbergh, R.C. (author), Hunegnaw, A. (author)
Most deep learning (DL) methods that are not end-to-end use several multi-scale and multi-type hand-crafted features that make the network challenging, more computationally intensive and vulnerable to overfitting. Furthermore, reliance on empirically-based feature dimensionality reduction may lead to misclassification. In contrast, efficient...
journal article 2022
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Huang, J. (author), Stoter, J.E. (author), Peters, R.Y. (author), Nan, L. (author)
We present a fully automatic approach for reconstructing compact 3D building models from large-scale airborne point clouds. A major challenge of urban reconstruction from airborne LiDAR point clouds lies in that the vertical walls are typically missing. Based on the observation that urban buildings typically consist of planar roofs connected...
journal article 2022
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de Jong, Dora (author)
Implementing renewable energy generation and more sustainable consumption behaviour in the future inland shipping industry is necessary. Electrification of the inland shipping fleet leads to an increase in electrical energy demand on the consumption side. The generation of decentralized photovoltaic (PV) energy systems on board of general cargo...
master thesis 2021
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Oosterlo, P. (author)
This dissertation focuses on the Eems-Dollard estuary in the north of the Netherlands and contributes to the MVED (’Meerjarige Veldmetingen Eems-Dollard’) field measurement project in the area. The Eems-Dollard estuary is part of the Wadden Sea, a shallow shelf sea with barrier islands, deep tidal channels, shallow tidal flats and wetlands. The...
doctoral thesis 2021
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ZHANG, Bichi (author)
In recent decades, the field of autonomous driving has witnessed rapid development, benefiting from the development of artificial intelligence-related technologies such as machine learning. Autonomous perception in driving is a key challenge, in which multi-sensor fusion is a common feature. Due to the high resolution and rich information, the...
master thesis 2021
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Papageorgiou, Manos (author)
Three-dimensional (3D) city models are of great significance and are high in demand. They can be used for various useful applications such as urban planning, visibility analysis and estimating the solar irradiation and energy demand of buildings throughout the day. Nowadays, Light Detection And Ranging (LiDAR) sensors are one of the most...
master thesis 2021
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Dobson, Daniel (author), Dong, Haoyang (author), van der Horst, Noortje (author), Langhorst, Lars (author), van der Vaart, Jasper (author), Wu, Ziyan (author)
Storing accurate models of complex geometries in a compact way has become an increasingly challenging issue, especially when dealing with large datasets. One of such datasets is Cobra-Groeninzicht's database of all trees in the Netherlands. In the gaming industry, a new technique is being used to generate tree models: the L-system. An L-system...
student report 2021
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Vogiatzis, Anastasios (author)
Everything around us is rapidly changing. Whole new blocks of buildings are built, huge infrastructural projects are constructed and so on. Hence, there is a need of a reliable and up-to-date inventory of the area and the objects of interest for mapping and monitoring assets and their changes. An answer of this upcoming need is an automated...
master thesis 2021
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Bisschop, Timo (author)
The melting of mountain glaciers worldwide contributes significantly to global sea level rise, and is considered an indicator of climate change. The accurate modelling of glacier heights is crucial for determining their past, current and future state. The new lidar altimeters ICESAT-2 and GEDI were launched in 2018, which could provide valuable...
master thesis 2021
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Zhang, Guan ting (author), Verbree, E. (author), Wang, Xiao jun (author)
Sustainable development can only be achieved with an innovative improvement from the way we currently analyze, design, build and manage our urban spaces. Current digital analysis and design methods for cities, such as visibility analysis, deeply rely on mapping and modeling techniques. However, most methods fall short of depicting the real...
journal article 2021
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Balado Frías, J. (author), Arias, Pedro (author), Lorenzo, Henrique (author), Meijide-Rodríguez, Adrián (author)
Mobile Laser Scanning (MLS) systems have proven their usefulness in the rapid and accurate acquisition of the urban environment. From the generated point clouds, street furniture can be extracted and classified without manual intervention. However, this process of acquisition and classification is not error-free, caused mainly by disturbances...
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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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
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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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Oosterlo, P. (author), Hofland, B. (author), van der Meer, J.W. (author), Overduin, Maarten (author), Steendam, Gosse Jan (author)
Wave overtopping is typically measured in the field using overtopping tanks. In this paper, an alternative system is developed that uses two laser scanners. The system also measures wave run-up, as well as run-up depths and velocities, both during perpendicular and oblique waves on a dike in the field. The paper considers the first calibration...
journal article 2021
Searched for: subject%3A%22LiDAR%22
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