Geometry- and Appearance-Based Reasoning of Construction Progress Monitoring

Han, Kevin; DeGol, Joseph; Golparvar-Fard, Mani

doi:10.1061/(asce)co.1943-7862.0001428

Cited by 102 publications

(61 citation statements)

References 30 publications

(32 reference statements)

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“…A number of computational algorithms have been also reported to provide better solutions on these limitations [e.g. 13,14,16,18].…”

Section: Colour Image For Materials Identificationmentioning

confidence: 99%

“…For example, Dimitrov et al [14] presented a new algorithm based on Structure-from-Motion (SfM) combined with image statistical analysis. Hang et al [16] proposed a manual integration of 3D point cloud and 2D image patches to facilitate 4D BIM with the site photolog and SfM accompanied with specially designed image database.…”

Section: Colour Image For Materials Identificationmentioning

confidence: 99%

“…One of various developments in the utilisation of colour information processes colour images with sophisticated algorithm along with specifically designed image database to identify the construction materials [16].…”

Section: Introductionmentioning

confidence: 99%

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BIM for existing facilities: feasibility of spectral image integration to 3D point cloud data

Amano

Lou

2016

MATEC Web Conf.

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Abstract. Accurate geometrical and spatial information of the built environment can be accurately acquired and the resulting 3D point cloud data is required to be processed to construct the digital model, Building Information Modelling (BIM) for existing facilities. Point cloud by laser scanning over the buildings and facilities has been commonly used, but the data requires external information so that any objects and materials can be correctly identified and classified. A number of advanced data processing methods have been developed, such as the use of colour information to attach semantic information. However, the accuracy of colour information depends largely on the scene environment where the image is acquired. The limited number of spectral channels on conventional RGB camera often fails to extract important information about surface material, despite spectral surface reflectance can represent a signature of the material. Hyperspectral imaging can, instead, provide precise representation of spatial and spectral information. By implementing such information to 3D point cloud, the efficiency of material detection and classification in BIM should be significantly improved. In this work, the feasibility of the image integration and discuss practical difficulties in the development.

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“…A number of computational algorithms have been also reported to provide better solutions on these limitations [e.g. 13,14,16,18].…”

Section: Colour Image For Materials Identificationmentioning

confidence: 99%

Section: Colour Image For Materials Identificationmentioning

confidence: 99%

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BIM for existing facilities: feasibility of spectral image integration to 3D point cloud data

Amano

Lou

2016

MATEC Web Conf.

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“…To solve these problems, researchers used 3D imaging technologies along with BIM models to generate as-built 3D models and detect discrepancies (Asadi et al 2019b;Bosché et al 2015;Han et al 2018;. Comparing as-built 3D models with BIM elements can help the engineers and technicians to detect the discrepancies easily (Boroujeni and Han 2017).…”

Section: Introductionmentioning

confidence: 99%

Virtual Manipulation in an Immersive Virtual Environment: Simulation of Virtual Assembly

Noghabaei¹,

Asadi²,

Han³

2019

Computing in Civil Engineering 2019

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To fill the lack of research efforts in virtual assembly of modules and training, this paper presents a virtual manipulation of building objects in an Immersive Virtual Environment (IVE). A worker wearing a Virtual Reality (VR) head-mounted device (HMD) virtually perform an assembly of multiple modules while identifying any issues. Hand motions of the worker are tracked by a motion sensor mounted on the HMD. The worker can be graded based on his/her overall performance and speed during this VR simulation. The developed VR simulation can ultimately enable workers to identify unforeseen issues (e.g., not enough clearance for an object to be installed). The presented method can solve current deficiencies in discrepancy detection in 3D scanned models of elements. The developed VR platform can also be used for interactive training and simulation sessions that can potentially improve efficiency and help achieve better work performance for assemblies of complex systems.

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“…For Tezel and Aziz (2017), the use of these technologies can contribute to the reduction of non-value adding, error-prone, and time-consuming activities associated with the construction progress monitoring process. Such benefits are related to the optimization of managerial tasks, the decrease of the number of mistakes made in routine tasks associated with the progress monitoring process, and the possibility of integrated visual management between schedule planning and production performance control, making the construction progress monitoring more efficient, transparent and collaborative (Tezel and Aziz 2017;Han et al 2018;.…”

Section: Introductionmentioning

confidence: 99%

Construction Progress Monitoring Using Unmanned Aerial System and 4D BIM

Álvares¹,

Costa²

2019

Annual Conference of the International Group for Lean Construction

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Construction progress monitoring may help for an efficient management process as planned. Studies have proposed the use of visual data technologies; however, little has yet been done for the development and implementation of methods for integrating such technologies into construction management routine. This study aims to implement and evaluate the proposed method for systematic visual progress monitoring integrating into the production planning and control process, supported by 4D BIM, photogrammetric 3D mapping using Unmanned Arial System imagery, and performance indicators. The proposed method was implemented for 20 weeks in a case study on a construction project. The data collection included construction site 3D mapping generation, visual comparison of 4D BIM and 3D mapping status, measurement of performance indicators, and structured interviews. The evaluation focused on the following research constructs: compliance with the planned goals, impact on the construction progress deviations, transparency, and collaboration. The main findings indicate an improved integration of progress analysis and decision-making, improvement of progress deviations' identification, and allowed for better compliance with planned goals and increased transparency and collaboration. The main contribution of this work is a better understanding of the impact and added value of the new information flow provided by using the proposed method.

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Geometry- and Appearance-Based Reasoning of Construction Progress Monitoring

Cited by 102 publications

References 30 publications

BIM for existing facilities: feasibility of spectral image integration to 3D point cloud data

BIM for existing facilities: feasibility of spectral image integration to 3D point cloud data

Virtual Manipulation in an Immersive Virtual Environment: Simulation of Virtual Assembly

Construction Progress Monitoring Using Unmanned Aerial System and 4D BIM

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