3D reconstruction of existing concrete bridges using optical methods

Popescu, Cosmin; Täljsten, Björn; Blanksvärd, Thomas; Elfgren, Lennart

doi:10.1080/15732479.2019.1594315

Cited by 71 publications

(59 citation statements)

References 33 publications

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“…While the manufacturer reports a range of 4.5 m [45], the recommended distances between scan locations are 1 m for outdoor projects and 2.5 m for indoor projects [9]. While the Matterport camera has successfully been used in an outdoor setting [46,47], the interference of sunlight at the wavelengths used by the infrared camera may affect the 3D data acquisition and alignment of the scans [48,49]. In previous studies, the Matterport camera has been shown to have low accuracy in comparison to laser scanners in indoor modeling [7].…”

Section: Matterport Pro2 3dmentioning

confidence: 99%

A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling

et al. 2020

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The automated 3D modeling of indoor spaces is a rapidly advancing field, in which recent developments have made the modeling process more accessible to consumers by lowering the cost of instruments and offering a highly automated service for 3D model creation. We compared the performance of three low-cost sensor systems; one RGB-D camera, one low-end terrestrial laser scanner (TLS), and one panoramic camera, using a cloud-based processing service to automatically create mesh models and point clouds, evaluating the accuracy of the results against a reference point cloud from a higher-end TLS. While adequately accurate results could be obtained with all three sensor systems, the TLS performed the best both in terms of reconstructing the overall room geometry and smaller details, with the panoramic camera clearly trailing the other systems and the RGB-D offering a middle ground in terms of both cost and quality. The results demonstrate the attractiveness of fully automatic cloud-based indoor 3D modeling for low-cost sensor systems, with the latter providing better model accuracy and completeness, and with all systems offering a rapid rate of data acquisition through an easy-to-use interface.

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Section: Matterport Pro2 3dmentioning

confidence: 99%

A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling

et al. 2020

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“…Die Erstellung von 3‐D‐Modellen von Bestandsbauwerken ist über verschiedene Techniken möglich. 3‐D‐Punktwolken können über Laserscanning, Tachymetrie oder Fotogrammetrie aufgenommen werden . Die Ableitung eines 3‐D‐Modells aus diesen Daten ist über Triangulation oder das Nachzeichnen der Querschnitte aus den Punktwolken möglich.…”

Section: Stand Der Technik Und Forschungunclassified

Methoden zur Generierung von As‐Built‐Modellen für Bestandsbrücken

et al. 2020

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Gemäß dem Stufenplan Digitales Planen und Bauen des Bundesministeriums für Verkehr und digitale Infrastruktur (BMVI) ist ab 2020 die ganzheitliche Anwendung von Building Information Modeling (BIM) für Projekte im Infrastrukturbereich vorgesehen. Ansätze und Strategien zum Einsatz von BIM in Betrieb und Erhaltung von Brückenbauwerken liegen nur begrenzt vor. Das Ziel des Projekts ist es, die Möglichkeiten zur Erstellung von BIM‐fähigen As‐Built‐Modellen für Bestandsbrücken an einem Bauwerk zu untersuchen, anzuwenden und Empfehlungen zur Nutzung dieser Modelle in der Betriebsphase zu geben. Es wurden zwei Bauwerksmodelle anhand der Punktwolke eines Laserscans und der konventionellen Modellierung auf Grundlage von Bestandsunterlagen erstellt. Der geometrische Abgleich beider Modelle zeigt die Unterschiede von Plan‐ und Ist‐Zustand der Bestandsbrücke auf. Die Anwendungsbereiche der verschiedenen Modelle und der Aufwand zur Erstellung der Modelle werden erläutert.

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“…The ability to reconstruct an object in 3D is of interest for a large number of applications. Examples of three-dimensional optical imaging include the reconstruction of dental pieces for improved accuracy [1], of bridges to aid maintenance work [2], of plants/fruits to measure their growth [3] and to perform 3D mapping of the seafloor [4]. In these mentioned applications a structured light beam was used to illuminate the object of interest and the pattern that was diffusely reflected from its surface was imaged.…”

Section: Introductionmentioning

confidence: 99%

“…From the analysis of the deformed light pattern, the surface of the object could be reconstructed in 3D. Generally, methods using Structured Illumination require several image acquisitions following a scanning procedure to obtain a single 3D reconstruction [1][2][3][4]. In situations where high temporal resolution is needed this multiple image acquisition is not desired, for example, when imaging fast moving and/or deforming elements such as liquid bodies.…”

Section: Introductionmentioning

confidence: 99%

Snapshot 3D reconstruction of liquid surfaces

2020

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In contrast to static objects, liquid structures such as drops, blobs, as well as waves and ripples on water surfaces are challenging to image in 3D due to two main reasons: first, the transient nature of those phenomena requires snapshot imaging that is fast enough to freeze the motion of the liquid. Second, the transparency of liquids and the specular reflections from their surfaces induce complex image artefacts. In this article we present a novel imaging approach to reconstruct in 3D the surface of irregular liquid structures that only requires a single snapshot. The technique is named Fringe Projection-Laser Induced Fluorescence (FP-LIF) and uses a high concentration of fluorescent dye in the probed liquid. By exciting this dye with a fringe projection structured laser beam, fluorescence is generated primarily at the liquid surface and imaged at a backward angle. By analysing the deformation of the initial projected fringes using phase-demodulation image post-processing, the 3D coordinates of the liquid surface are deduced. In this article, the approach is first numerically tested by considering a simulated pending drop, in order to analyse its performance. Then, FP-LIF is applied for two experimental cases: a quasi-static pending drop as well as a transient liquid sheet. We demonstrate reconstruction RMS errors of 1.4% and 6.1% for the simulated and experimental cases respectively. The technique presented here demonstrates, for the first time, a fringe projection approach based on LIF detection to reconstruct liquid surfaces in 3D. FP-LIF is promising for the study of more complex liquid structures and is paving the way for high-speed 3D videography of liquid surfaces.

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3D reconstruction of existing concrete bridges using optical methods

Cited by 71 publications

References 33 publications

A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling

A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling

Methoden zur Generierung von As‐Built‐Modellen für Bestandsbrücken

Snapshot 3D reconstruction of liquid surfaces

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