Bridge Construction Progress Monitoring Using Image Analysis

Kim, Changyoon; Kim, Hyoungkwan; Ju, Yeonjong

doi:10.22260/isarc2009/0023

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…Mobile devices are portable/small-sized computing devices having a display screen for accessing and embedding information needed for coordinating between the job site and the office. Mobile devices have long been found useful in the construction industry for progress management (El-Omari and Moselhi, 2011), managing punch lists (Menzel et al, 2008), maintenance (Kim et al, 2009) and safety applications (Wang, 2008). Examples of such mobile devices include personal data assistant (PDA), smart phones and tablet PCs.…”

Section: Enabling Technologiesmentioning

confidence: 99%

Cyber-physical systems integration of building information models and the physical construction

Akanmu

Anumba

2015

Engineering, Construction and Architectural Management

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Purpose – In spite of the benefits of virtual models in the building and construction industry, the full potential of these models, especially in the construction and operation phases, remains largely unrealized. With the increasing developments in information and communication technology, a number of attempts have been made to extend the use of these models, through the development of integration approaches and technologies. However, the issue of integrating the virtual model and the physical construction such as to enable bi-directional coordination, has not been adequately addressed. Thus, the purpose of this paper is to investigate the application of a cyber-physical systems (CPS) approach in enhancing bi-directional coordination between virtual models and the physical construction. Design/methodology/approach – This research employs scenario development rapid prototyping to illustrate CPS integration in the construction industry, with a particular focus on facilitating bi-directional coordination. The proof-of-concept prototype systems developed were validated using a focus group consisting of industry practitioners. Findings – Bi-directional coordination between virtual models and the physical construction has the potential to improve real-time progress monitoring and control of the construction process, tracking of changes and model updates, information exchange between the design office and the job site, real-time documentation of the as-built status of high-value components and improved sustainability practices. Originality/value – This paper adds value to the construction industry by demonstrating the application of the CPS approach in enhancing bi-directional coordination between virtual models and the physical construction through the development of system architectures, scenarios and prototype systems.

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Section: Enabling Technologiesmentioning

confidence: 99%

Cyber-physical systems integration of building information models and the physical construction

Akanmu

Anumba

2015

Engineering, Construction and Architectural Management

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“…Conventional practice of supervision with omnipresence still is foremost dominating, the reason being lack of careful, trusty and understandable software and hardware used on the demanding situations on the sites. Previously, many projects related to infrastructural construction used equipments like digital camera or closed circuit television camera (CCTV) to record the images of construction site [2]. However it is not that easy to set up CCTV camera and also the screens to verify the progress activities.…”

Section: Introductionmentioning

confidence: 99%

Site Progress Monitoring Using Mobile Crowd Sensing

Deolikar¹

2018

Helix

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Monitoring of construction progress plays a very pivoting role in any infrastructural construction. One of the important issues in any construction activity is to know its progress status. Incorrect understanding of ongoing status can give rise to more added errors and mismanagement in the project. Normally, a project manager needs to move around the site so as to monitor the progress of the work done. In this paper, to avoid this time consuming process and in an effort to monitor the site progress in a Metro Environment, the concept of crowd sensing and image processing are considered as a whole. On the request from admin, the image of the construction site whose progress activity is to be verified is captured by the user, using Mobile Crowd Sensing (MCS). The image and location are sent to the central server. The image processing component attempts to match the captured image with the reference image. The system outputs the current bridge construction progress done. At the end, the accuracy of designed system is calculated and is proved to be factual.

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“…González-Aguilera and Gómez-Lahoz [8] developed a pipeline for dimensional analysis of bridge structures from an image. Kim et al [9] conducted a preliminary study to show the feasibility of autonomous monitoring of bridge construction progress based on image analysis. Jahanshahi et al [10] surveyed and evaluated several image-based approaches for automatic defect detection of bridge structures.…”

Section: Introductionmentioning

confidence: 99%

Multi-image stitching and scene reconstruction for evaluating defect evolution in structures

Jahanshahi

Masri

Sukhatme

2011

Structural Health Monitoring

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It is well-recognized that civil infrastructure monitoring approaches that rely on visual approaches will continue to be an important methodology for condition assessment of such systems. Current inspection standards for structures such as bridges require an inspector to travel to a target structure site and visually assess the structure's condition. A less time-consuming and inexpensive alternative to current vision-based monitoring methods is to use a system that could inspect structures remotely and also more frequently.This paper presents and evaluates the underlying technical elements for the development of an integrated inspection software tool that is based on the use of inexpensive digital cameras. For this purpose, digital cameras are appropriately mounted on a structure (e.g., a bridge) and can zoom or rotate in three directions (similar to traffic cameras). They are remotely controlled by an inspector, which allows the visual assessment of the structure's condition by looking at images captured by the cameras. By not having to travel to the structure's site, other issues related to safety considerations and traffic detouring are consequently bypassed. The proposed system gives an inspector the ability to compare the current (visual) situation of a structure with its former condition. If an inspector notices a defect in the current view, he/she can request a reconstruction of the same view using images that were previously captured and automatically stored in a database. Furthermore, by generating databases that consist of periodically captured images of a structure, the proposed system allows an inspector to evaluate the evolution of changes by simultaneously comparing the structure's condition at different time periods. The essential components of the proposed virtual image reconstruction system are: keypoint detection, keypoint matching, image selection, outlier exclusion, bundle adjustment, composition, and cropping. Several illustrative examples are presented in the paper to demonstrate the capabilities, as well as the limitations, of the proposed vision-based inspection procedure.

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Bridge Construction Progress Monitoring Using Image Analysis

Cited by 4 publications

References 8 publications

Cyber-physical systems integration of building information models and the physical construction

Cyber-physical systems integration of building information models and the physical construction

Site Progress Monitoring Using Mobile Crowd Sensing

Multi-image stitching and scene reconstruction for evaluating defect evolution in structures

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