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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), Lindenbergh, R.C. (author), Abdikan, S. (author)Global Ecosystem Dynamics Investigate (GEDI) is a spaceborne laser altimeter system used for earth observation in many areas such as forest canopy, water level and terrain height estimation. GEDI data is affected by atmospheric effects due to the sensor used while observing. In this study, we propose a 7-step, multi-variable strategy for...conference paper 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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Gamper, Hannes (author), Forkel, David (author), Diaz Rosales, A. (author), Garai, Jorge Playán (author), Almagro, Carlos Veiga (author), Buonocore, Luca Rosario (author), Matheson, Eloise (author), Di Castro, Mario (author)At CERN, radiation surveys of equipment and beam lines are important for safety and analysis throughout the accelerator complex. Radiation measurements are highly dependent on the distance between the sensor and the radiation source. If this distance can be accurately established, the measurements can be used to better understand the...conference paper 2023
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Nagavarapu, Sarat Chandra (author), Abraham, Anuj (author), Selvaraj, Nithish Muthuchamy (author), Dauwels, J.H.G. (author)Autonomous vehicles (AV) are one of the greatest technological advancements of this decade and a giant leap in the transportation industry and mobile robotics. Autonomous vehicles face several major challenges in achieving higher levels of autonomy. One of these is to find a fast and reliable algorithm to process the sensor data so that the...conference paper 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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A Two-Step Feature Extraction Algorithm: Application to deep learning for point cloud classificationNurunnabi, 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