Computer Vision and Deep Learning: Advanced Technology and Applications into Civil Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 20 June 2026 | Viewed by 16
Special Issue Editors
Interests: applied mathematics and computer science
Interests: railway infrastructures; train-bridge interaction; dynamic testing of structures; vibration sensors; structural health monitoring; modal identification; model calibration and validation; damage identification; drive-by methodologies; remote inspection; UAVs; computer vision; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence is driving a new era in civil engineering. The convergence of computer vision, deep learning, LiDAR, BIM (OPEN-BIM), augmented and extended reality is enabling intelligent solutions that redefine how infrastructure is designed, monitored, and maintained. From automated damage detection and 3D reconstruction to predictive modeling and immersive visualization, these technologies are setting new standards for accuracy, efficiency, and sustainability. This special issue invites cutting-edge research and practical case studies that showcase how AI-powered tools are transforming civil engineering practices. We invite original research articles, reviews, and case studies focusing on novel methods, models, and applications of computer vision and deep learning in civil engineering, that contribute to the advance the state of the art in theory, algorithms, data integration, and real-world implementation.
Topics of interest include, but are not limited to:
- Structural health monitoring and defect detection
- Image-, LiDAR-, and video-based assessment
- BIM integration, digital twins, and AR-assisted applications
- UAV and remote sensing for inspection and mapping
- Deep learning for materials, construction, and asset management
This special issue provides an excellent opportunity for researchers and practitioners to share innovative findings, foster interdisciplinary collaboration, and highlight the pivotal role of AI in building smarter, safer, and more resilient infrastructure systems.
Dr. Hernan Pinto
Dr. Diogo Ribeiro
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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
- interoperability
- immersive simulation
- IoT sensors
- 3D visualization
- real-time data
- intelligent automation
- hybrid environments
- spatial contextualization
- predictive analytics
- computer vision and deep learning
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