Improved Method for Increasing Maintenance Efficiency of Construction Structure Using Augmented Reality by Marker-Less Method

Moon, So Yeong; Yun, Su; Kim, Hyeon Seung; Kang, Leen Seok

doi:10.12652/ksce.2015.35.4.0961

Cited by 7 publications

(5 citation statements)

References 5 publications

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“…Augmented reality requires accurate camera posture estimation and 3D real-time reconstruction of the scene, and SLAM plays a role in augmented reality. A good augmented reality experience necessitates SLAM systems capable of handling a variety of complex camera motions to enhance the user experience [17]. In this paper we evaluate the existing feature matching-based SLAM algorithm standard framework ORB-SLAM2, modify it to overcome its shortcomings, and eventually build an augmented reality system based on the ORB algorithm and adopt PROSAC algorithm.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…1. When the plane is not found in the SLAM system, the initial pose of the model is set to T 0 , and the SLAM system transmits the current frame pose and the current frame image data to the AR module; when the plane is found in the SLAM system, the pose of the model is set to T pw , and the SLAM system still transmits the current frame pose and the current frame image data to the AR module [17][18][19]. A buffered Blocking queue severs as the transmission container between the SLAM system and the augmented reality module.…”

Section: Enhancing the Interaction Between Reality Module And Slam Al...mentioning

confidence: 99%

See 1 more Smart Citation

Monocular Visual SLAM for Markerless Tracking Algorithm to Augmented Reality

Yang¹,

Jia²,

Yu³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Enhancing the Interaction Between Reality Module And Slam Al...mentioning

confidence: 99%

Monocular Visual SLAM for Markerless Tracking Algorithm to Augmented Reality

Yang¹,

Jia²,

Yu³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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“…Moon et al [21] applied non-marker-based AR technology to conduct research on improving the efficiency of construction structure maintenance. Shin et al [22] conducted research on an AR-based underground facility management system by converting the image and property information of the BIM model to IFC format and by using Broadcast-RTK for improving location accuracy.…”

Section: Research Trends In Bim Data Verification and Management Usin...mentioning

confidence: 99%

Augmented Reality-Based BIM Data Compatibility Verification Method for FAB Digital Twin implementation

Song,

Park,

Lee

et al. 2023

Buildings

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With the advancement of state-of-the-art technologies, the semiconductor industry plays a key role as an essential component in the manufacture of various electronic products. Since the manufacturing of a semiconductor goes through very sophisticated and complex processes, efficient and accurate work and management are essential in the design, construction, and operation stages of the semiconductor fabrication (FAB) plant. Recently, the combined application of building information modeling (BIM) and augmented reality (AR) technology has gained increased attention in this semiconductor FAB industry as an advanced way to improve work efficiency and accuracy while eliminating other related problems, such as human errors. Despite the perceived benefits of combined use of BIM and AR, many technical problems still exist when integrating the target test model and the 3D virtual object model using BIM data and existing AR visualization technology, due to the unique characteristics of the FAB sites. To solve these problems, this study proposed an AR-based real-time BIM data compatibility verification method for future FAB digital twin implementation and demonstrated that it could be converted into a system and applied to actual FAB sites. As a result of the development and verification of this system, the proposed AR-based real-time BIM data compatibility verification system enables the accurate fitting of the AR model and actual object through AR tracking and anchoring technology considering the characteristics of FAB sites. After the fitting, the system was able to maintain compatibility, even when the camera moved and the marker moved away from the screen. By expanding the effective distance of compatibility between the AR model and the actual object, it was possible to increase the AR application range between the 3D virtual object model and the test target model and to improve the compatibility.

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“…Therefore, as Moon S.Y. et al indicated, the limitations of marker-based AR are that more time and effort are required for marker production because there are more objects [6]. Furthermore, as Kwon, O.S.…”

Section: Marker-based Ar Studiesmentioning

confidence: 99%

“…In this method, AR can be executed without a separate marker production and installation process in the field; therefore, the additional time or effort is relatively small. However, such problems as slow recognition of objects in AR or shaking of augmented objects when implemented indoors have occurred [6]. In contrast, the marker method employs the ID concept that implements AR by superimposing a 3D model on the location of a unique marker (QR code, picture, etc.)…”

Section: Introduction 1research Background and Purposementioning

confidence: 99%

Development of a Construction-Site Work Support System Using BIM-Marker-Based Augmented Reality

Yoon

Lee

2023

Sustainability

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Augmented reality (AR) in 3D has been proposed as a way to overcome the shortcomings of 2D drawings. In particular, marker-based AR is known to be more accurate in implementation, but it is not easy to use on construction sites because it requires more time and effort to create corresponding markers for information. Therefore, the purpose of this study was to develop a building information modeling (BIM)-based AR construction work support system that can be applied to construction sites by automatically generating markers. The system algorithm consists of three modules. The first module classifies and groups the objects of the BIM-based 3D model by work order. The second is used to reconstruct the 3D model by groups and automatically generate the corresponding individual markers for each object. The third specifies the marker position and implements AR by automatically matching of 3D model objects to the corresponding markers. To verify this system, a case study was implemented by projecting the BIM-marker-based AR of a 3D model on an existing building. The results show that the developed system provides 3D models and work-related information in AR at the correct scale, size, and location.

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Improved Method for Increasing Maintenance Efficiency of Construction Structure Using Augmented Reality by Marker-Less Method

Cited by 7 publications

References 5 publications

Monocular Visual SLAM for Markerless Tracking Algorithm to Augmented Reality

Monocular Visual SLAM for Markerless Tracking Algorithm to Augmented Reality

Augmented Reality-Based BIM Data Compatibility Verification Method for FAB Digital Twin implementation

Development of a Construction-Site Work Support System Using BIM-Marker-Based Augmented Reality

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