Planning for terrestrial laser scanning in construction: A review

Aryan, Afrooz; Bosché, Frédéric; Tang, Pingbo

doi:10.1016/j.autcon.2021.103551

Cited by 98 publications

(63 citation statements)

References 78 publications

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“…Scan planning was formulated as a series of optimization problems, with three main elements to the optimization problems: inputs, controls, and optimization models. Aryan et al [ 269 ] reviewed prior publications based on these three problem elements and proposed three main data quality considerations: completeness, accuracy, and registrability.…”

Section: Critical Issues In Applicationmentioning

confidence: 99%

“…Most of the existing publications solved medium-scale and generally simple problems [ 269 ], while working in real construction environments is difficult, owing to the more complicated set of limitations. Future research should be conducted to optimize the main elements in a functional model of scan planning, including: (a) exploring various kinds of input model matching the real environment well; (b) investigating the required data quality for specific applications and establishing the relationship between the required data quality and the scan parameters; (c) developing more optimal solutions for solving constrained nonlinear optimization problems; (d) using AI technologies and optimization algorithms to increase the level of automation and real-time adjustment to reduce manual intervention in data acquisition.…”

Section: Future Research Directionsmentioning

confidence: 99%

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Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

Yuan

Yang

et al. 2021

Sensors

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As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing interest in the fields of architecture, engineering and construction (AEC), with outstanding advantages, such as highly automated, non-contact operation and efficient large-scale sampling capability. TLS has extended a new approach to capturing extremely comprehensive data of the construction environment, providing detailed information for further analysis. This paper presents a systematic review based on scientometric and qualitative analysis to summarize the progress and the current status of the topic and to point out promising research efforts. To begin with, a brief understanding of TLS is provided. Following the selection of relevant papers through a literature search, a scientometric analysis of papers is carried out. Then, major applications are categorized and presented, including (1) 3D model reconstruction, (2) object recognition, (3) deformation measurement, (4) quality assessment, and (5) progress tracking. For widespread adoption and effective use of TLS, essential problems impacting working effects in application are summarized as follows: workflow, data quality, scan planning, and data processing. Finally, future research directions are suggested, including: (1) cost control of hardware and software, (2) improvement of data processing capability, (3) automatic scan planning, (4) integration of digital technologies, (5) adoption of artificial intelligence.

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Section: Critical Issues In Applicationmentioning

confidence: 99%

Section: Future Research Directionsmentioning

confidence: 99%

Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

Yuan

Yang

et al. 2021

Sensors

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“…This calls into focus the process of planning to minimise the time on-site and maximise the integrity (i.e. quality and quantity) of the datasets (Aryan et al , 2021). Additional processing is also required to translate the unstructured point clouds into structured models using third-party applications to increase the value of the data set.…”

Section: Introductionmentioning

confidence: 99%

The development of a digitally enhanced visual inspection framework for masonry bridges in the UK

Talebi

Al-Adhami

et al. 2022

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Purpose The utilisation of emerging technologies for the inspection of bridges has remarkably increased. In particular, non-destructive testing (NDT) technologies are deemed a potential alternative for costly, labour-intensive, subjective and unsafe conventional bridge inspection regimes. This paper aims to develop a framework to overcome conventional inspection regimes' limitations by deploying multiple NDT technologies to carry out digital visual inspections of masonry railway bridges. Design/methodology/approach This research adopts an exploratory case study approach, and the empirical data is collected through exploratory workshops, interviews and document reviews. The framework is implemented and refined in five masonry bridges as part of the UK railway infrastructure. Four NDT technologies, namely, terrestrial laser scanner, infrared thermography, 360-degree imaging and unmanned aerial vehicles, are used in this study. Findings A digitally enhanced visual inspection framework is developed by using complementary optical methods. Compared to the conventional inspection regimes, the new approach requires fewer subjective interpretations due to the additional qualitative and quantitative analysis. Also, it is safer and needs fewer operators on site, as the actual inspection can be carried out remotely. Originality/value This research is a step towards digitalising the inspection of bridges, and it is of particular interest to transport agencies and bridge inspectors and can potentially result in revolutionising the bridge inspection regimes and guidelines.

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“…Besides, they are almost independent of lighting conditions. LS offers new possibilities for many applications such as Building Information Modelling (BIM), documentation of cultural heritage, infrastructure inspection, and additive manufacturing in construction (Aryan et al, 2021;Mattia Previtali et al, 2020;M. Maboudi et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Automatic Integration of Laser Scanning and Photogrammetric Point Clouds: From Acquisition to Co-Registration

Partovi¹,

Dähne

Maboudi³

et al. 2021

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

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Abstract. Laser scanning systems have been developed to capture very high-resolution 3D point clouds and consequently acquire the object geometry. This object measuring technique has a high capacity for being utilized in a wide variety of applications such as indoor and outdoor modelling. The Terrestrial Laser Scanning (TLS) is used as an important data capturing measurement system to provide high quality point cloud from industrial or built-up environments. However, the static nature of the TLS and complexity of the industrial sites necessitate employing a complementary data capturing system e.g. cameras to fill the gaps in the TLS point cloud caused by occlusions which is very common in complex industrial areas. Moreover, employing images provide better radiometric and edge information. This motivated a joint project to develop a system for automatic and robust co-registration of TLS data and images directly, especially for complex objects. In this paper, the proposed methods for various components of this project including gap detection from point cloud, calculation of initial image capturing configuration, user interface and support system for the image capturing procedures, and co-registration between TLS point cloud and photogrammetric point cloud are presented. The primarily results on a complex industrial environment are promising.

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Planning for terrestrial laser scanning in construction: A review

Cited by 98 publications

References 78 publications

Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

The development of a digitally enhanced visual inspection framework for masonry bridges in the UK

Automatic Integration of Laser Scanning and Photogrammetric Point Clouds: From Acquisition to Co-Registration

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