scholarly journals Generating bridge geometric digital twins from point clouds

2019 ◽  
Author(s):  
Ruodan Lu ◽  
Ioannis Brilakis
Keyword(s):  
Point Clouds ◽  
Digital Twins

scholarly journals Making Historical Gyroscopes Alive—2D and 3D Preservations by Sensor Fusion and Open Data Access

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 957
Author(s):  
Dieter Fritsch ◽  
Jörg F. Wagner ◽  
Beate Ceranski ◽  
Sven Simon ◽  
Maria Niklaus ◽  
...  
Keyword(s):  
Industrial Revolution ◽  
Open Data ◽  
Data Access ◽  
Point Clouds ◽  
Optical Instruments ◽  
Advantages And Disadvantages ◽  
Complex Orientation ◽  
Digital Twins ◽  
The University ◽  
2D And 3D

The preservation of cultural heritage assets of all kind is an important task for modern civilizations. This also includes tools and instruments that have been used in the previous decades and centuries. Along with the industrial revolution 200 years ago, mechanical and electrical technologies emerged, together with optical instruments. In the meantime, it is not only museums who showcase these developments, but also companies, universities, and private institutions. Gyroscopes are fascinating instruments with a history dating back 200 years. When J.G.F. Bohnenberger presented his machine to his students in 1810 at the University of Tuebingen, Germany, nobody could have foreseen that this fascinating development would be used for complex orientation and positioning. At the University of Stuttgart, Germany, a collection of 160 exhibits is available and in transition towards their sustainable future. Here, the systems are digitized in 2D, 2.5D, and 3D and are made available for a worldwide community using open access platforms. The technologies being used are computed tomography, computer vision, endoscopy, and photogrammetry. We present a novel workflow for combining voxel representations and colored point clouds, to create digital twins of the physical objects with 0.1 mm precision. This has not yet been investigated and is therefore pioneering work. Advantages and disadvantages are discussed and suggested work for the near future is outlined in this new and challenging field of tech heritage digitization.

scholarly journals Dynamic Sensor Matching for Parallel Point Cloud Data Acquisition

2021 ◽  
Author(s):  
Simone Müller ◽  
Dieter Kranzlmüller
Keyword(s):  
Point Cloud ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Object Perception ◽  
Point Clouds ◽  
Sensor Data ◽  
Virtual Object ◽  
Data Sets ◽  
Cloud Data ◽  
Digital Twins

Based on depth perception of individual stereo cameras, spatial structures can be derived as point clouds. The quality of such three-dimensional data is technically restricted by sensor limitations, latency of recording, and insufficient object reconstructions caused by surface illustration. Additionally external physical effects like lighting conditions, material properties, and reflections can lead to deviations between real and virtual object perception. Such physical influences can be seen in rendered point clouds as geometrical imaging errors on surfaces and edges. We propose the simultaneous use of multiple and dynamically arranged cameras. The increased information density leads to more details in surrounding detection and object illustration. During a pre-processing phase the collected data are merged and prepared. Subsequently, a logical analysis part examines and allocates the captured images to three-dimensional space. For this purpose, it is necessary to create a new metadata set consisting of image and localisation data. The post-processing reworks and matches the locally assigned images. As a result, the dynamic moving images become comparable so that a more accurate point cloud can be generated. For evaluation and better comparability we decided to use synthetically generated data sets. Our approach builds the foundation for dynamic and real-time based generation of digital twins with the aid of real sensor data.

scholarly journals Technical Note: On the Production and Accuracy of CNC-Manufactured Hydraulic Scale Models

Water ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 916
Author(s):  
Jochen Aberle ◽  
Ralph Eikenberg ◽  
Till Branß ◽  
Pierre-Yves Henry
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Point Clouds ◽  
Technical Note ◽  
Production Technique ◽  
Statistical Parameters ◽  
Digital Twins ◽  
Scale Models ◽  
Computer Numerically Controlled ◽  
High Degree

This Technical Note addresses the workflow for the production of hydraulic scale models using a Computer Numerically Controlled (CNC) production technique and investigates the possibilities to accurately reproduce topographical roughness features. Focusing on the construction of three scale models of unlined rock blasted tunnels, their accuracy is evaluated based on the comparison of differences between scaled prototype point clouds obtained by terrestrial laser scanning, spatially filtered meshes that served as input for the milling of the models, and digital twins of the constructed models that were created by Structure from Motion photogrammetry. The direct comparison between the point clouds and meshes as well as the comparison of derived statistical parameters show that the models could be reproduced with a high degree of accuracy. Observed deviations between the point clouds of the milled models and the milling meshes, as well as the scaled original point cloud, are identified and discussed in light of the production technique and the accuracy of the applied methods for the comparison.

scholarly journals Sensitivity Analysis for Simulated Annealing-Based Fitting of CAD Models to Point Clouds of Digitized Parts

2021 ◽  
pp. 274-280
Author(s):  
Ghazanfar Ali Shah ◽  
Arnaud Polette ◽  
Jean-Philippe Pernot ◽  
Franca Giannini ◽  
Marina Monti
Keyword(s):  
Sensitivity Analysis ◽  
Simulated Annealing ◽  
Simulated Annealing Algorithm ◽  
Point Clouds ◽  
Model Parameters ◽  
Cad Model ◽  
Digital Twins ◽  
Fitting Algorithm ◽  
Cad Models ◽  
The Impact

AbstractThis paper addresses the way a simulated annealing-based fitting strategy can be enhanced by leveraging a sensitivity analysis able to characterize the impact of the variations in the parameters of a CAD model on the evolution of the deviation between the CAD model itself and the point cloud of the digitized part to be fitted. The principles underpinning the adopted fitting algorithm are briefly recalled. The applied sensitivity analysis is described together with the comparison of the resulting sensitivity evolution curves with the changes in the CAD model parameters imposed by the simulated annealing algorithm. This analysis suggests several possible improvements that are discussed. The overall approach is illustrated on the fitting of single mechanical parts but it can be directly extended to the fitting of parts’ assemblies. It is particularly interesting in the context of the Industry 4.0 to update digital twins of physical products and systems.

scholarly journals Making Historical Gyroscopes Alive – 2D and 3D Preservations by Sensor Fusion and Open Data Access

2020 ◽  
Author(s):  
Dieter Fritsch ◽  
Jörg F. Wagner ◽  
Beate Ceranski ◽  
Sven Simon ◽  
Maria Niklaus ◽  
...  
Keyword(s):  
Open Data ◽  
Data Access ◽  
Point Clouds ◽  
Advantages And Disadvantages ◽  
Complex Orientation ◽  
Digital Twins ◽  
Tangible Assets ◽  
History Of ◽  
The University ◽  
2D And 3D

Gyroscopes are fascinating instruments with a history of about 200 years. When J.G.F. Bohnenberger presented his machine to his students in 1810 at the University of Tuebingen, Germany, nobody could have foreseen that this fascinating development would be used for complex orientation and positioning. At the University of Stuttgart, Germany, a collection of 160 exhibits is available and in transition for a sustainable future. Here, the systems are digitized in 2D, 2.5D and 3D and are made available for a world-wide community using OpenAccess platforms. The technologies being used are Computed Tomography, Computer Vision, Endoscopy and Photogrammetry. The workflows for combining voxel representations and colored point clouds are described, to create Digital Twins of the tangible assets. Advantages and disadvantages are discussed und work for near future is outlined in this new and challenging field of Tech Heritage digitization.

scholarly journals AUTOMATIC 3D BUILDINGS COMPACT RECONSTRUCTION FROM LIDAR POINT CLOUDS

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 473-478
Author(s):  
G.-A. Nys ◽  
R. Billen ◽  
F. Poux
Keyword(s):  
Large Scale ◽  
Point Clouds ◽  
Relevant Information ◽  
Heat Radiation ◽  
Direct Extraction ◽  
Real World Data ◽  
Radiation Model ◽  
Digital Twins ◽  
Potential Use ◽  
City Models

Abstract. Point clouds generated from aerial LiDAR and photogrammetric techniques are great ways to obtain valuable spatial insights over large scale. However, their nature hinders the direct extraction and sharing of underlying information. The generation of consistent large-scale 3D city models from this real-world data is a major challenge. Specifically, the integration in workflows usable by decision-making scenarios demands that the data is structured, rich and exchangeable. CityGML permits new advances in terms of interoperable endeavour to use city models in a collaborative way. Efforts have led to render good-looking digital twins of cities but few of them take into account their potential use in finite elements simulations (wind, floods, heat radiation model, etc.). In this paper, we target the automatic reconstruction of consistent 3D city buildings highlighting closed solids, coherent surface junctions, perfect snapping of vertices, etc. It specifically investigates the topological and geometrical consistency of generated models from aerial LiDAR point cloud, formatted following the CityJSON specifications. These models are then usable to store relevant information and provides geometries usable within complex computations such as computational fluid dynamics, free of local inconsistencies (e.g. holes and unclosed solids).

scholarly journals Quality Evaluation of Digital Twins Generated Based on UAV Photogrammetry and TLS: Bridge Case Study

2021 ◽  
Vol 13 (17) ◽  
pp. 3499
Author(s):  
Masoud Mohammadi ◽  
Maria Rashidi ◽  
Vahid Mousavi ◽  
Ali Karami ◽  
Yang Yu ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Point Clouds ◽  
Geometric Accuracy ◽  
Digital Twins ◽  
Surface Deviation ◽  
Noise Data ◽  
Bridge Inspections ◽  
Aerial Vehicle ◽  
Comparative Results

In the current modern era of information and technology, emerging remote advancements have been widely established for detailed virtual inspections and assessments of infrastructure assets, especially bridges. These technologies are capable of creating an accurate digital representation of the existing assets, commonly known as the digital twins. Digital twins are suitable alternatives to in-person and on-site based assessments that can provide safer, cheaper, more reliable, and less distributive bridge inspections. In the case of bridge monitoring, Unmanned Aerial Vehicle (UAV) photogrammetry and Terrestrial Laser Scanning (TLS) are among the most common advanced technologies that hold the potential to provide qualitative digital models; however, the research is still lacking a reliable methodology to evaluate the generated point clouds in terms of quality and geometric accuracy for a bridge size case study. Therefore, this paper aims to provide a comprehensive methodology along with a thorough bridge case study to evaluate two digital point clouds developed from an existing Australian heritage bridge via both UAV-based photogrammetry and TLS. In this regard, a range of proposed approaches were employed to compare point clouds in terms of points’ distribution, level of outlier noise, data completeness, surface deviation, and geometric accuracy. The comparative results of this case study not only proved the capability and applicability of the proposed methodology and approaches in evaluating these two voluminous point clouds, but they also exhibited a higher level of point density and more acceptable agreements with as-is measurements in TLS-based point clouds subjected to the implementation of a precise data capture and a 3D reconstruction model.

Obtaining as-built models of manufacturing plants from point clouds

2018 ◽  
Vol 66 (5) ◽  
pp. 397-405 ◽  
Author(s):  
Jochen Meidow ◽  
Thomas Usländer ◽  
Karsten Schulz
Keyword(s):  
Laser Scanning ◽  
Point Clouds ◽  
Relevant Information ◽  
Manufacturing Plant ◽  
Manufacturing Plants ◽  
Digital Twins ◽  
Simulation Based ◽  
Specific Object ◽  
Degree Of Maturity ◽  
Object Models

Abstract The capability to adapt a manufacturing plant to changing requirements gains increasing importance in industrial production environments, e. g., triggered by Industrie 4.0 scenarios. A virtual as-built model of a manufacturing plant and its surrounding factory building provides important decision support and relevant information for digital twins, e. g., to trace assets and asset types across their whole lifetime, planning of renovations, plant and machine topology changes, or the simulation-based analysis of production processes. Based on point clouds obtained by terrestrial laser scanning or photogrammetric acquisition, reverse engineering can be applied to extract and to reconstruct relevant objects in a form suitable for CAD programs. In this article, we review approaches to capture a scene by point measurements and to reconstruct the geometry of its components given specific object models. This comprises the discussion of various representation schemes for objects and their relations, strategies for object recognition, and the explication of methods for model instantiation. Furthermore, depending on the requirements for specific tasks, we identify technology gaps and specify the degree of maturity of the related techniques.

scholarly journals VERBUM – virtual enhanced reality for building modelling (virtual technical tour in digital twins for building conservation)

2022 ◽  
Vol 27 ◽  
pp. 20-47
Author(s):  
Silvana Bruno ◽  
Albina Scioti ◽  
Alessandra Pierucci ◽  
Rocco Rubino ◽  
Tommaso Di Noia ◽  
...  
Keyword(s):  
Information Exchange ◽  
Swot Analysis ◽  
Point Clouds ◽  
Mitigation Measures ◽  
Architectural Heritage ◽  
Digital Twins ◽  
Digital Environments ◽  
Continuous Stream ◽  
Paradigmatic Change ◽  
Enhanced Reality

The digital transformation of the construction sector is also involving cultural and architectural heritage conservation management to solve criticalities of information exchange in refurbishment/restoration, from the preliminary steps until the execution and monitoring of interventions. Nevertheless, time and resources required to complete digital models (point clouds, 3D meshes and HBIM model) are extensive and this can cause interruption of knowledge communication among professionals. The VERBuM project (Virtual Enhanced Reality For Building Modelling) aims at investigating how a central Virtual Technical Tour (VTT), would guarantee a continuous stream of information when other disruptive technologies are integrated in the process and their related products are linked to the VTT. The use of a VTT, based on 360° photos, may fill time and resources gaps as it is a rapid up-to-date and high-fidelityto-reality tool. The fostering of the paradigmatic change in refurbishment/restoration process requires the development of all-in-one digital environments for digital twinning of cultural and architectural heritage and its assessment, aware of potentialities and criticalities to be overcame. The research moves from stakeholders’ information requirements to implement the VERBuM process supported by the central VTT, editable via cloud-based platform (VERBuM product) to exchange digital contents, uploaded in different file format, but consulted in VR by all the involved actors via web services, without any software product installation. The tool has been evaluated via SWOT analysis supported by Task-Technology Fit (TTF) model and users’ perceptions. The results provide mitigation measures of threats related to distrust in use of VTT within working groups and fruition of point clouds, meshes and BIM models, possible via WebGL-based libraries.

Sign in / Sign up

Export Citation Format

Share Document