- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
In an era of aging infrastructure and an increasing demand for safety, structural health monitoring (SHM) has become critical for ensuring the longevity and reliability of buildings, bridges, and other essential structures. Computer Vision and AI in Structural Health Monitoring and Structural Engineering explores cutting-edge approaches to SHM, integrating advancements in computer vision, artificial intelligence (AI), and multimodal technologies to revolutionize how infrastructure is monitored, maintained, and managed. Starting with the fundamentals of SHM and structural engineering, the book examines the transformative power of computer vision applications, such as crack detection, corrosion assessment, and real-time deformation analysis. It also introduces vision-language models (VLMs), enabling automated defect reporting, multimodal analysis, and natural language interfaces for SHM systems.
Contents
Part I: Fundamentals
1. Introduction
2. Basic Concepts
Part II: Computer Vision in SHM
3. Computer Vision Fundamentals
4. CV Applications in Construction
Part III: Vision-Language Models
5. Foundation of Vision-Language Models
6. VLM Applications
Part IV: Implementation and Evaluation
7. Evaluation Metrics
8. Data Collection and Management
Part V: Advanced Topics
9. Automation Systems
10. AI and Machine Learning
Part VI: Practical Considerations
11. Implementation Guidelines
12. Case Studies
Part VII: Future Directions
13. Emerging Technologies
14. Research Opportunities



