Searched for: subject%3A%22LIDAR%22
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Peng, Y. (author), Zhang, Guanting (author), Nijhuis, S. (author), Agugiaro, G. (author), Stoter, J.E. (author)
Historic gardens, regarded as a significant genre of cultural heritage, encapsulate the enduring essence of bygone eras while concurrently transcending temporal boundaries to resonate with the present and future. These gardens provide us vitality and inspiration, holding a collective repository of human memory and serving as a testament to our...
journal article 2024
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Önen, Çağan (author), Pandharipande, Ashish (author), Joseph, G. (author), Myers, N.J. (author)
Occupancy grid maps provide information about obstacles and available free space in the environment and are crucial in automotive driving applications. An occupancy map is constructed using point cloud data from sensor modalities like LiDAR and radar used for automotive perception. In this paper, we formulate the problem of estimating the...
journal article 2024
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Foroughnia, Fatemeh (author), Macchiarulo, V. (author), Berg, Luis (author), DeJong, Matthew (author), Milillo, Pietro (author), Hudnut, Kenneth W. (author), Gavin, Kenneth (author), Giardina, Giorgia (author)
Regional-scale assessment of the damage caused by earthquakes to structures is crucial for post-disaster management. While remote sensing techniques can be of great help for a quick post-event structural assessment of large areas, currently available methods are limited to the detection of severely-damaged buildings. Furthermore, remote...
journal article 2024
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Amani, Meisam (author), Foroughnia, Fatemeh (author), Moghimi, Armin (author), Mahdavi, Sahel (author), Jin, Shuanggen (author)
Progress toward habitat protection goals can effectively be performed using satellite imagery and machine-learning (ML) models at various spatial and temporal scales. In this regard, habitat types and landscape structures can be discriminated against using remote-sensing (RS) datasets. However, most existing research in three-dimensional (3D)...
journal article 2023
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Gordon, Matthew (author), Batallé Garcia, A. (author), De Wolf, Catherine (author), Sollazzo, Aldo (author), Dubor, Alexandre (author), Wang, T. (author)
To address the need for a shift from a linear to a circular economy in the built environment, this paper develops a semi-automated assistive process for planning building material deconstruction for reuse using sensing and scanning, Scan-to-BIM, and computer vision techniques. These methods are applied and tested in a real-world case study in...
journal article 2023
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Lindenbergh, R.C. (author), Cserép, Máté (author)
The evolution and spreading of data capturing methods ranging from simple GPS devices like smart-phones to large scale imaging equipment – including very high resolution and hyperspectral cameras and LiDAR – resulted in an exponential growth in the amount of spatial data maintained by companies and organizations. At the same time methods for...
journal article 2023
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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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Dardavesis, Ioannis (author), Verbree, E. (author), Rafiee, A. (author)
Localisation and navigation technologies have vastly evolved during the last years, facilitating users’ guidance in various environments. Unlike outdoor environments where GNSS comprises a universal solution, in indoor environments various localisation techniques have been used, each one with its drawbacks. Thus, this research investigates the...
journal article 2023
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Pandharipande, Ashish (author), Cheng, Chih Hong (author), Dauwels, J.H.G. (author), Gurbuz, Sevgi Z. (author), Ibanez-Guzman, Javier (author), Li, Guofa (author), Piazzoni, Andrea (author), Wang, Pu (author), Santra, Avik (author)
Automotive perception involves understanding the external driving environment and the internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving high levels of safety and autonomy in driving. This article provides an overview of different sensor modalities, such as cameras, radars, and light detection and...
journal article 2023
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Narin, O.G. (author), Gullu, Mevlut (author)
Digital elevation models (DEM) are an essential data source in many professional disciplines, with the help of gridded height information and values such as slope and aspect produced from that information. In this study, Ice, Cloud and land Elevation Satellite-2 (ICESat-2) and Global Ecosystem Dynamics Investigation (GEDI) satellite-altimetry...
journal article 2023
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Liu, Zhenyu (author), van Oosterom, P.J.M. (author), Balado Frías, J. (author), Swart, Arjen (author), Beers, Bart (author)
The Mobile Laser Scanning (MLS) data inevitably includes dynamic objects because there are always other vehicles (e.g., other cars, motorbikes, bikes, etc.) moving in the area near the MLS data collection vehicle on the road. These dynamic objects need to be removed in advance for many point cloud applications. This paper designs an efficient...
journal article 2023
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Peng, Y. (author), Nijhuis, S. (author), Zhang, Guangting (author), Stoter, J.E. (author), Agugiaro, G. (author)
This paper focuses on GIS-based visibility analysis to explore landscape architecture com-positions as a means to understand visual-spatial characteristics and identify related design principles. More specifically, the paper elaborates a practical method to employ high-resolution data acquired by terrestrial LiDAR (Light Detection and Ranging or...
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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Rist, C.B. (author), Emmerichs, David (author), Enzweiler, Markus (author), Gavrila, D. (author)
Semantic scene completion is the task of jointly estimating 3D geometry and semantics of objects and surfaces within a given extent. This is a particularly challenging task on real-world data that is sparse and occluded. We propose a scene segmentation network based on local Deep Implicit Functions as a novel learning-based method for scene...
journal article 2022
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Vatandaslar, Can (author), Narin, O.G. (author), Abdikan, Saygin (author)
Key message: Despite showing a cost-effective potential for quantifying vertical forest structure, the GEDI and ICESat-2 satellite LiDAR missions fall short of the data accuracy standards required by tree- and stand-level forest inventories. Abstract: Tree and stand heights are key inventory variables in forestry, but measuring them manually...
journal article 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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Domhof, J.F.M. (author), Kooij, J.F.P. (author), Gavrila, D. (author)
We address joint extrinsic calibration of lidar, camera and radar sensors. To simplify calibration, we propose a single calibration target design for all three modalities, and implement our approach in an open-source tool with bindings to Robot Operating System (ROS). Our tool features three optimization configurations, namely using error...
journal article 2021
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Oosterlo, P. (author), Hofland, Bas (author), van der Meer, J.W. (author), Overduin, Maarten (author), Steendam, Gosse Jan (author)
This paper presents the first field measurements with an innovative laser scanner system, during an actual severe winter storm with very oblique wave attack. The goal of this paper is to validate this innovative system for measuring wave run-up and wave overtopping parameters during storms with very oblique wave attack. The paper describes the...
journal article 2021
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Oosterlo, P. (author), Hofland, Bas (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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