3D environmental urban BIM using LiDAR data for visualisation on Google Earth

Fernández-Alvarado, J.F.; Fernández-Rodríguez, Santiago

doi:10.1016/j.autcon.2022.104251

Cited by 15 publications

(8 citation statements)

References 92 publications

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“…The availability of digitalization standards and regulation for pre-construction management [11,111,112] P03 Technology P03.01 Using machine learning during preconstruction [108,113] P03.02 Implementation for 3D mapping for BIM modeling [114,115] P03.03 Using blockchain technology with the organization's cloud system [116][117][118] P03.04 Utilization of drones for site surveying [119,120] P03.05…”

Section: Groups and Factors Referencesmentioning

confidence: 99%

Assessing the Digital Transformation Readiness of the Construction Industry Utilizing the Delphi Method

Naji,

Gunduz,

Alhenzab

et al. 2024

Buildings

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The rapid advancement of digital technology has enabled digital transformation across various sectors, including construction. The construction industry has long been associated with conventional, labor-intensive practices that can adversely influence the entire construction process. However, this culture is changing as key players in the sector are progressively identifying and embracing the vast opportunities and associated benefits of using digital tools and technologies to improve the performance and outcomes of the overall project lifecycle. To this end, this study uses the Delphi technique to identify 70 factors that contribute to the digital transformation of the construction industry, categorizing them into five groups: management, design, technology, policy, and infrastructure. Delphi analysis is used to examine the critical success factors for digital transformation identified in the literature and rate their importance during the preconstruction, construction, and facility management phases. Furthermore, this research results in the introduction of the Digital Transformation Level of Readiness Framework (DTRLF) to help facility management firms, clients, organizations, contractors, and designers comprehend the implementation of digital transformation within their respective domains and support decision-makers in establishing action to adapt related technologies in their respected project phases.

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Section: Groups and Factors Referencesmentioning

confidence: 99%

Assessing the Digital Transformation Readiness of the Construction Industry Utilizing the Delphi Method

Naji,

Gunduz,

Alhenzab

et al. 2024

Buildings

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“…Moreover, with the integration of BIM and third-party devices, BIM can achieve effective data collection and management in the construction phase of green buildings [84,85]. With the integration of BIM and GIS, BIM can assist the construction organization in obtaining information on the construction site and surrounding environment, including topography, terrain, soils, vegetation cover, road layout, and infrastructure layout [63,[86][87][88][89]. Besides that, with the connection of BIM and the Internet, BIM can effectively retrieve and integrate weather conditions on green building construction sites, thus mitigating the natural hazard damage and ensuring the safety of construction personnel [90].…”

Section: Lifecycle Data Storage and Managementmentioning

confidence: 99%

“…BIM can help the construction teams to transfer the green building model and related information generated during the design phase to the construction personnel in an error-free, omission-free manner [4,15,45,47,52,[78][79][80][81][82][83]. For green building projects that do not adopt BIM in their design phase, BIM can also be utilized to automatically capture the related information to generate the green building information model by identifying CAD drawings, or integrating with photography, GIS, and 3D scanning [63,[86][87][88][89][90][91][92][93][94].…”

Section: Bim Capabilities In the Green Building Pre-construction Phasementioning

confidence: 99%

“…Besides storing and categorizing the data that are generated in the green building construction process, BIM can automatically provide solutions to issues for stakeholders through CBR [143,146,147]. With the integration of BIM and third-party devices, the construction site's natural environment, climate, infrastructure, and the utilization conditions of human resources and materials are all available to stakeholders [5,63,[85][86][87][88][89][90][91][92][93][94].…”

Section: Bim Utilization In the Green Building Construction Phasementioning

confidence: 99%

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Green Building Construction: A Systematic Review of BIM Utilization

2022

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As a multi-function method, Building Information Modeling (BIM) can assist construction organizations in improving their project’s quality, optimize collaboration efficiency, and reduce construction periods and expenditure. Given the distinguished contributions of BIM utilization, there is a trend that BIM has significant potential to be utilized in the construction phase of green buildings. Compared with traditional buildings, green buildings have more stringent requirements, including environmental protection, saving energy, and residents’ comfort. Although BIM is deemed an effective method to achieve the abovementioned requirements in the construction process of green buildings, there are few systematic reviews that explore the capabilities of BIM in the construction phase of green buildings. This has hindered the utilization of BIM in the construction of green buildings. To bridge this research gap and review the latest BIM capabilities, this study was developed to perform a systematic review of the BIM capabilities in the construction phase of green buildings. In this systematic review, the PRISMA protocol has been used as the primary procedure for article screening and review. The entire systematic review was performed from January 2022 to April 2022. In this process, 165 articles were included, reviewed, and discussed. Web of Science (WoS) and Scopus were adopted as the databases. Through this systematic review, it can be identified that BIM capabilities have significant advantages in project quality improvement, lifecycle data storage and management, collaboration optimization, planning, and schedule management optimization in the construction phase of green buildings. Through the discussion, it can be concluded that BIM utilization can be adopted from the pre-construction phase to the post-construction stage in the green building construction process. Besides these, the barriers to BIM utilization in the green building construction phase are also revealed in the discussion section, including the non-uniform data format, insufficient interactivity, ambiguous ownership, insufficient BIM training, and hesitation toward BIM adoption. Moreover, the challenges and future directions of BIM utilization in green building construction are identified. The findings of this study can facilitate construction personnel to be acquainted with BIM capabilities in the construction of green buildings to promote the utilization and optimization of BIM capabilities in the green building construction process.

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“…With the accelerated development of urbanization, the study of spatial geographic information achievement has elicited general interest in the area of remote sensing, photogrammetry, computer vision and machine intelligence. The reconstruction of fine-detailed digital surface model (DSM) from multi-view stereo (MVS) matching is one of the focal topics which has gained considerable attention in the past decades [1][2][3] .…”

Section: Introductionmentioning

confidence: 99%

A point cloud optimization algorithm based on nonadjacent low-altitude remote sensing images

Yang,

Huang,

Chang

2023

Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023)

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This paper presents a robust point cloud optimization algorithm based on nonadjacent low-altitude remote sensing images. The proposed algorithm is designed to optimize the performance of point cloud generation in accuracy and efficiency. In order to accelerate the process of stereo matching and compute the coordinate of object point accurately, a pair of nonadjacent images is employed to lengthen the epipolar line of the image pair. Then a patch based Least Square Matching (LSM) method is utilized to search the optimal matching pixels and compute the coordinates of corresponding object points in 3D space. Comparison studies and experimental results in point cloud generation about low altitude remote sensing images have proved the effectiveness of the proposed algorithm.

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3D environmental urban BIM using LiDAR data for visualisation on Google Earth

Cited by 15 publications

References 92 publications

Assessing the Digital Transformation Readiness of the Construction Industry Utilizing the Delphi Method

Assessing the Digital Transformation Readiness of the Construction Industry Utilizing the Delphi Method

Green Building Construction: A Systematic Review of BIM Utilization

A point cloud optimization algorithm based on nonadjacent low-altitude remote sensing images

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