Research Topic

Vision-based Construction Documentation

About this Research Topic

With the increasing availability of deployed networked cameras, from fixed (e.g. closed-circuit televisions) to mobile (e.g. smartphones, head-mounted cameras, etc.) and even Unmanned Aerial Vehicles (UAVs) large numbers of high-quality images or video footages are being collected to document the ‘as-is’ status of construction sites and built environments. In particular, the recent advances in UAVs have helped practitioners to gather visual data regularly and to perform the project-level monitoring, based on the performance of output production (e.g. progress monitoring). In addition, visual data continuously collected by fixed cameras allows the operation-level monitoring to measure operational efficiency and/or recognize unsafe behaviors of workers and equipment.

Despite the benefits of emerging technologies for visual data collection, massive amounts of visual data being collected from job sites have provoked the inevitable issue, i.e. “visual data overload”. The volume of visual data is increasing rapidly, proportional to its recording time, and it is important to process a large amount of visual data for generating useful information. Due to this, the visual data overload is regarded as a major issue in visual monitoring at construction projects. While much research has been done in the past to examine visual construction data, we are facing a new era of visual sensing and analytics for construction project management, in the context of big visual data. Such challenges pose strong demands on efficient and effective ways for better capturing, computing and visualization of huge amounts of visual data.

This Research Topic invites articles that address the following topics, or other author-proposed topics related to the overall theme, in order to cover key solutions in big visual data (1. sensing and capturing of visual data; 2. storage and retrieving of visual data; 3. computing and analytics of visual data; 4. cloud processing and virtualization of visual data; 5. new applications of visual data) in the context of the project- and operation-level monitoring and controls. These topics include:
• Automatic as-built modeling and 3D reconstruction
• On and off-site tracking
• Production monitoring and automated layout
• Construction performance monitoring and quality management
• Health and Safety analysis
• Building performance modeling and analysis


Keywords: Visual Sensing, Big Visual Data, Visual Analytics, Construction Management, Project Management


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

With the increasing availability of deployed networked cameras, from fixed (e.g. closed-circuit televisions) to mobile (e.g. smartphones, head-mounted cameras, etc.) and even Unmanned Aerial Vehicles (UAVs) large numbers of high-quality images or video footages are being collected to document the ‘as-is’ status of construction sites and built environments. In particular, the recent advances in UAVs have helped practitioners to gather visual data regularly and to perform the project-level monitoring, based on the performance of output production (e.g. progress monitoring). In addition, visual data continuously collected by fixed cameras allows the operation-level monitoring to measure operational efficiency and/or recognize unsafe behaviors of workers and equipment.

Despite the benefits of emerging technologies for visual data collection, massive amounts of visual data being collected from job sites have provoked the inevitable issue, i.e. “visual data overload”. The volume of visual data is increasing rapidly, proportional to its recording time, and it is important to process a large amount of visual data for generating useful information. Due to this, the visual data overload is regarded as a major issue in visual monitoring at construction projects. While much research has been done in the past to examine visual construction data, we are facing a new era of visual sensing and analytics for construction project management, in the context of big visual data. Such challenges pose strong demands on efficient and effective ways for better capturing, computing and visualization of huge amounts of visual data.

This Research Topic invites articles that address the following topics, or other author-proposed topics related to the overall theme, in order to cover key solutions in big visual data (1. sensing and capturing of visual data; 2. storage and retrieving of visual data; 3. computing and analytics of visual data; 4. cloud processing and virtualization of visual data; 5. new applications of visual data) in the context of the project- and operation-level monitoring and controls. These topics include:
• Automatic as-built modeling and 3D reconstruction
• On and off-site tracking
• Production monitoring and automated layout
• Construction performance monitoring and quality management
• Health and Safety analysis
• Building performance modeling and analysis


Keywords: Visual Sensing, Big Visual Data, Visual Analytics, Construction Management, Project Management


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

19 August 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

19 August 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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