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Special Issue "Sensors for Construction Automation and Management"
Deadline for manuscript submissions: 31 May 2020.
Interests: construction automation; as-built building information modeling (BIM); point cloud processing; progress monitoring; fabrication verification; machine learning; laser scanning; real-time location systems (RTLS); virtual and augmented reality (VR/AR)
Tel. +1 403 210 9495
Interests: laser scanning; photogrammetry; self-calibration; bundle adjustment; registration; point cloud processing; network design; multi-sensor systems; sensor integration; imaging metrology; deformation measurement
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Interests: non-destructive testing and evaluation (NDT and E); structural health monitoring; remote sensing; remote bridge monitoring; bridge engineering; finite element modeling; remote fatigue monitoring; fracture mechanics, space structures; earthquake engineering
With the recent and on-going technological advancements, the application of sensors for construction project automation has grown markedly. Automatic data collection and analysis provide immense opportunities to improve, evaluate, and automate construction processes, a significant advantage over traditional manual practices. New and innovative approaches that foster the application of sensors and remote sensing technologies on construction projects are, hence, eminently desirable for the growth and development of the construction industry.
The “Sensors for Construction Automation and Management” Special Issue addresses a wide range of research topics focused on the application of sensors, so as to automate construction processes. Relevant topics include, but are not limited to, the following:
- Application of laser scanners and camera/thermal imagery for construction automation;
- Automated segmentation and feature extraction of point clouds and images related to construction, including scan-to-BIM;
- Remote sensor-based damage detection, and health monitoring of real-world civil/infrastructure projects;
- Automated sensor-based progress monitoring, modular fabrication verification, and on-site quality control;
- Artificial intelligence, machine learning, and deep learning for the analysis of field sensor data;
- Multi-sensor systems and data fusion in construction, including virtual and augmented reality (VR/AR);
- Radio frequency-based real-time location systems (RTLS) in construction.
We look forward to receiving your contributions.
Dr. Reza Maalek
Prof. Dr. Derek Lichti
Dr. Shahrokh Maalek
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- construction automation
- as-built building information modelling (BIM)
- construction monitoring and control
- non-destructive testing and evaluation (NDT and E)
- real-time location systems (RTLS)
- smart construction
- artificial intelligence (AI)
- virtual and augmented reality (VR/AR)
- laser scanning technology