Visual Detection Technology and Its Application in Urban Building Safety Monitoring
A Special Issue of Buildings (ISSN 2075-5309) belonging to the section "Construction Management, and Computers & Digitization".
Deadline for manuscript submissions: 20 November 2026 | Viewed by 779
Editor
Special Issue Information
Dear Colleagues,
With the rapid advancement of urbanization, urban buildings are facing potential safety risks such as cracks, tilting, deformation, and aging during long-term service. Traditional manual inspection methods are inefficient, high-risk, and prone to omissions, especially for high-rise buildings and complex urban environments, where it is difficult to achieve comprehensive and accurate safety monitoring. Regarding the safety of urban residents' lives and property, as well as the stable operation of urban functions, it is necessary to develop efficient, accurate, and intelligent inspection technologies. However, it is not enough to simply obtain visual images of buildings; the identification, evaluation, and early warning of potential safety hazards (such as cracks and building tilting) based on visual detection data should be further realized.
This Special Issue aims to gather innovative research and development achievements in the field of visual detection for urban construction, focusing on safety monitoring of urban buildings, so as to promote the application of visual detection technology in urban safety management and improve the level of urban disaster prevention, mitigation, and safety guarantee. The scope of this Special Issue covers original research and review studies, including (but not limited to) the following:
- Visual detection technology for urban buildings (with UAV as a typical application platform);
- Visual identification and measurement of building cracks based on visual detection technology (including UAV-borne visual detection);
- Urban building tilting monitoring and deformation analysis based on visual detection technology;
- Visual data processing and intelligent interpretation for urban building monitoring;
- AI-based visual image analysis for urban safety hazard early warning (including UAV remote sensing detection images);
- Visual detection system design and optimization for urban construction (including UAV-based visual inspection systems);
- Application of UAV LiDAR, multi-spectral imaging, and other visual remote sensing detection technologies in urban building safety monitoring;
- Safety evaluation of urban buildings based on visual detection data (including UAV visual remote sensing data).
Dr. Tengyue Li
Guest Editor
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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings 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 2600 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.
Keywords
- visual detection technology
- urban building
- safety monitoring
- visual data
- building cracks
- UAV image processing
- deformation analysis
- AI-based image analysis
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