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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 such as light detection and ranging (LiDAR) and radar used for automotive perception. In this article, we...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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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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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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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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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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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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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
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Amani, Meisam (author), Foroughnia, Fatemeh (author), Moghimi, Armin (author), Mahdavi, Sahel (author)Remote sensing datasets are great resources to map habitat types. In this study, 3D habitat maps were generated using high-resolution multispectral imagery and a LiDAR-derived digital surface model (DSM). Two study areas in the United Kingdom (UK) were selected to investigate the potential of the developed models in habitat classification. The...conference paper 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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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), 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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Nurunnabi, A. (author), Teferle, F. N. (author), Li, J. (author), Lindenbergh, R.C. (author), Parvaz, S. (author)Semantic segmentation of point clouds is indispensable for 3D scene understanding. Point clouds have credibility for capturing geometry of objects including shape, size, and orientation. Deep learning (DL) has been recognized as the most successful approach for image semantic segmentation. Applied to point clouds, performance of the many DL...journal article 2021
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An efficient deep learning approach for ground point filtering in aerial laser scanning point cloudsNurunnabi, A. (author), Teferle, F. N. (author), Li, J. (author), Lindenbergh, R.C. (author), Hunegnaw, A. (author)Ground surface extraction is one of the classic tasks in airborne laser scanning (ALS) point cloud processing that is used for three-dimensional (3D) city modelling, infrastructure health monitoring, and disaster management. Many methods have been developed over the last three decades. Recently, Deep Learning (DL) has become the most dominant...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