Construction Quality Assessment Using 3D as-built Models Generated with Project Tango

Kalyan, T. Sri; Zadeh, Puyan A.; Staub‐French, Sheryl; Froese, Thomas

doi:10.1016/j.proeng.2016.04.178

Cited by 41 publications

(21 citation statements)

References 8 publications

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“…Most of the performance evaluation studies for Range camera devices have benchmarked these cameras to be less accurate than the laser scanners [10] [11]. However, the cost factor, consumer availability and ease of use make these cameras easier to be adopted in construction applications.…”

Section: Resultsmentioning

confidence: 99%

“…Tango limits itself from the applications for quality assessment. However, the device outperformed other methods in terms of cost and user convenience [11].Although the device was reported to be less accurate, there are studies which stress that the accuracy of the device can be improved through passing the outputs through algorithms such as RANSAC, shape detection, least square plane fitting etc. [12].…”

Section: Past Workmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of Handheld Devices for 3D Reconstruction in Construction

Senthilvel¹,

Soman²,

Varghese³

2017

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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-Generation and quality of as built models influence the subsequent applications such as progress monitoring, quality control, and deviation detection. The quality of any 3D reconstructed model heavily depends on the raw inputs and the post processing involved. While laser and LiDAR-based scanning are widely prevalent, lower cost equipment and sensors are increasingly becoming adaptable for 3D reconstruction. This study tests the feasibility of using IR-based scanning tablets and passive stereo vision cameras to acquire data from a construction environment based on the type of applications (such as progress monitoring, deviation detection) on a construction site. Two different off the shelf technologies: Tango tablet and ZED camera are tested during this research for developing as-built models using 3D reconstruction. The devices are compared on the basis of metrics such as preparation time for each scan, calibration of the scanner and total scanning time for determining the ease of scanning process, accuracy of generated point clouds. Also, the influence of external factors such as scanning parameters, ambient lighting, and characteristics of the object being scanned, and angle/orientation of scanner with respect to the object are studied.

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Section: Resultsmentioning

confidence: 99%

Section: Past Workmentioning

confidence: 99%

Comparison of Handheld Devices for 3D Reconstruction in Construction

Senthilvel¹,

Soman²,

Varghese³

2017

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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show abstract

“…In the past few years, 3D as-built models for construction quality assessment have been developed using data acquisition techniques like 3D Terrestrial Laser Scanning (TLS) and photogrammetry. However, certain limitations like nonaffordability, requiring expertise to operate, and dependence on time-consuming processes are restricting their usage (Kalyan et al, 2016). Actually, if use of TLS for surveying complex architectural surfaces is not new and is matter of many researches in restoration field (Bello Caballero et al, 2017), rarer, or even absent, is its use applied to the study of hidden spatial structures such as wooden roofing.…”

Section: Related Workmentioning

confidence: 99%

Wooden Trusses Reconstruction and Analysis Through Parametric 3d Modeling

Prati

Zuppella

Mochi

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> This paper aims to indicate a new methodological approach, based on generative algorithms, to attempt a more in-depth and transversal understanding of the behavior of these wooden structures. The developed method accelerates modeling procedures and brings on new tools for analyzing these structural systems when surveyed through TLS devices. The main topic of this work is the most recent step of a wider research project that has analyzed a few wooden roofing structures in the area of bologna. These case studies are represented by a set of important churches in Bologna, all built between the 16th and 18th centuries, whose pitched roofs are supported by timber trusses. Among them, the most impressive is the wooden truss in the St. Peter Cathedral that has approximately 26 meters of span, 7 meters of height for nearly 9 tons of weight. It also shows a complex static conception with the coexistence of an external nondeformable triangle and an internal virtual discharging arc. The focus is on the transformation of the point cloud into 3D models using parametric modeling tools such as Grasshopper generative algorithms. These algorithms, once created for a single truss, allow to automatically generating 3D models of all trusses, changing only input parameters.</p>

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“…The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-2/W17, 2019 6th International Workshop LowCost 3D -Sensors, Algorithms, Applications, 2-3 December 2019, Strasbourg, France a point cloud using the depth-estimation provided by a timeof-flight (TOF) and stereo-vision capture and reconstruction methods. Notable research by (Angladon et al, 2018), (Senthilvel et al, 2017) and (Kalyan et al, 2016) all describe case studies where a Google Tango compatible mobile tablet or phone were used for capture of point clouds of outdoor and indoor building areas. The common census among the cited papers is that while the captured point clouds were not of high enough quality to be useful for accuracy-critical applications, they are more suitable for applications where the accuracy threshold error is tolerated.…”

Section: Point Cloud Capturementioning

confidence: 99%

A Service-Oriented Indoor Point Cloud Processing Pipeline

Stojanovic

Trapp

Richter

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Visualization of point clouds plays an important role in understanding the context of the digital representation of the built environment. Modern commodity mobile devices (e.g., smartphones and tablets), are capable of capturing representations in the form of 3D point clouds, with their depth-sensing and photogrammetry capabilities. Points clouds enable the encoding of important spatial and physical features of the built environment they represent. However, once captured, point clouds need to be processed before they can be used for further semantic enrichment and decision making. An integrated pipeline for such processes is crucial for use in larger and more complex enterprise systems and data analysis platforms, especially within the realm of Facility Management (FM) and Real Estate 4.0. We present and discuss a prototypical implementation for a service-oriented point cloud processing pipeline. The presented processing features focus on detecting and visualizing spatial deviations between as-is versus as-designed representations. We discuss the design and implementation of these processing features, and present experimental results. The presented approach can be used as a lightweight software component for processing indoor point clouds captured using commodity mobile devices, as well as primary deviation analysis, and also provides a processing link for further semantic enrichment of base-data for Building Information Modeling (BIM) and Digital Twin (DT) applications.

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Construction Quality Assessment Using 3D as-built Models Generated with Project Tango

Cited by 41 publications

References 8 publications

Comparison of Handheld Devices for 3D Reconstruction in Construction

Comparison of Handheld Devices for 3D Reconstruction in Construction

Wooden Trusses Reconstruction and Analysis Through Parametric 3d Modeling

A Service-Oriented Indoor Point Cloud Processing Pipeline

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