Multiobjective Optimization of Reality Capture Plans for Computer Vision–Driven Construction Monitoring with Camera-Equipped UAVs

Ibrahim, Amir; Golparvar-Fard, Mani; El‐Rayes, Khaled

doi:10.1061/(asce)cp.1943-5487.0001032

Cited by 25 publications

(4 citation statements)

References 40 publications

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“…Even though lean-based metrics have been developed to provide more proactive performance measures, these metrics are currently limited due to the lack of actual high-frequency data from the construction site (Lin and Golparvar-Fard, 2021). However, the emerging construction 4.0 technologies, such as reality capture, laser scanning, unmanned aerial vehicles (UAVs), artificial intelligence, the Internet of Things (IoT), radio-frequency identification (RFID) and wearable sensors enable the collection and analysis of reliable as-built data from the construction site (Dawood et al, 2022;Gonz alez et al, 2022;Ibrahim et al, 2022;Sawhney et al, 2020). Therefore, employing more leading control metrics to monitor different aspects of the project is feasible and essential.…”

Section: Research Discussion Contributions and Future Recommendationsmentioning

confidence: 99%

An advanced exploration of functionalities as the underlying principles of construction control metrics

Sheikhkhoshkar,

Bril El Haouzi,

Aubry

et al. 2024

SASBE

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PurposeIn academics and industry, significant efforts have been made to lead planners and control teams in evaluating project performance and control. In this context, numerous control metrics have been devised and put into practice, often with little emphasis on analyzing their underlying concepts. To cover this gap, this research aims to identify and analyze a holistic list of control metrics and their functionalities in the construction industry.Design/methodology/approachA multi-step analytical approach was conducted to achieve the study’s objectives. First, a holistic list of control metrics and their functionalities in the construction industry was identified. Second, a quantitative analysis based on social network analysis (SNA) was implemented to discover the most important functionalities.FindingsThe results revealed that the most important control metrics' functionalities (CMF) could differ depending on the type of metrics (lagging and leading) and levels of control. However, in general, the most significant functionalities include managing project progress and performance, evaluating the look-ahead level’s performance, measuring the reliability and stability of workflow, measuring the make-ready process, constraint management and measuring the quality of construction flow.Originality/valueThis research will assist the project team in getting a comprehensive sensemaking of planning and control systems and their functionalities to plan and control different dynamic aspects of the project.

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Section: Research Discussion Contributions and Future Recommendationsmentioning

confidence: 99%

An advanced exploration of functionalities as the underlying principles of construction control metrics

Sheikhkhoshkar,

Bril El Haouzi,

Aubry

et al. 2024

SASBE

View full text Add to dashboard Cite

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“…This makes evolutionary algorithms particularly suitable for complex problems where the solution landscape is poorly understood. The related works of Jia and Lichti (2017); Ibrahim et al (2022) investigate the applicability of various randomized selection algorithms to solve the VPP. Exact solutions can be achieved through optimization techniques like Mixed-Integer Linear Programming (MILP).…”

Section: Related Wordmentioning

confidence: 99%

Assessing and Improving Automated Viewpoint Planning for Static Laser Scanning Using Optimization Methods

Noichl,

Stuecke,

Thielen

et al. 2024

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The preparation of laser scanning missions is important for efficiency and data quality. Furthermore, it is a prerequisite for automated data acquisition, which has numerous applications in the built environment, including autonomous inspections and monitoring of construction progress and quality criteria. The scene and potential scanning locations can be discretized to facilitate the analysis of visibility and quality aspects. The remaining mathematical problem to generate an economic scan strategy is the Viewpoint Planning Problem (VPP), which asks for a minimum number of scanning locations within the given scene to cover the scene under pre-defined requirements. Solutions for this problem are most commonly found using heuristics. While these efficient methods scale well, they cannot generally return globally optimal solutions. This paper investigates the VPP based on a problem description that considers quality-constrained visibility in 3D scenes and suitable overlaps between individual viewpoints for targetless registration of acquired point clouds. The methodology includes the introduction of a preprocessing method designed to simplify the input data without losing information about the problem. The paper details various solution methods for the VPP, encompassing conventional heuristics and a mixed-integer linear programming formulation, which is solved using Benders decomposition. Experiments are carried out on two case study datasets, varying in specifications and sizes, to evaluate these methods. The results show the actual quality of the obtained solutions and their deviation from optimality (in terms of the estimated optimality gap) for instances where exact solutions can not be achieved.

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“…As shown, AR/VR and deep learning are preferred due to their image and speech recognition capabilities. [52, [131][132][133] However, algorithms trained on historical data may struggle to perform with upto-date information about the dynamic and intricate nature of the construction process. Furthermore, the algorithms may be obstructed by the inconsistency and lack of comprehensive data on various construction projects, resulting in inaccurate, insufficient, and faulty predictions [52,57].…”

Section: Algorithm-based Technologiesmentioning

confidence: 99%

Content Analysis of Three-Dimensional Model Technologies and Applications for Construction: Current Trends and Future Directions

Le,

Tran,

Sturgill

2024

Sensors

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The proliferation of digital technologies is substantially transforming inspection methodologies for construction activities. Although the implementation of a three-dimensional (3D) model has emerged as an advantageous, feasible inspection application, the selection of the most suitable 3D models is challenging due to multiple technology options. The primary objectives of this study were to investigate current trends and identify future technologies for 3D models in the construction industry. This study utilized systematic reviews by identifying and selecting quality journals, analyzing selected articles, and conducting content analysis and meta-analysis to identify dominant themes in 3D models. Results showed that the top technologies used to model construction projects are building information models, remote sensing, stereo vision system/photo processing programs, and augmented reality/virtual reality. The main benefits and challenges of these technologies for modeling were also determined. This study identified three areas with significant knowledge gaps for future research: (1) the amalgamation of two or more technologies to overcome project obstacles; (2) solution optimization for inspections in remote areas; and (3) the development of algorithm-based technologies. This research contributes to the body of knowledge by exploring current trends and future directions of 3D model technologies in the construction industry.

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Multiobjective Optimization of Reality Capture Plans for Computer Vision–Driven Construction Monitoring with Camera-Equipped UAVs

Cited by 25 publications

References 40 publications

An advanced exploration of functionalities as the underlying principles of construction control metrics

An advanced exploration of functionalities as the underlying principles of construction control metrics

Assessing and Improving Automated Viewpoint Planning for Static Laser Scanning Using Optimization Methods

Content Analysis of Three-Dimensional Model Technologies and Applications for Construction: Current Trends and Future Directions

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