Provides comprehensive coverage of theory and hands-on implementation
of computer vision-based sensors for structural health monitoring
This book is the first to fill the gap between scientific research of
computer vision and its practical applications for structural health
monitoring (SHM). It provides a complete, state-of-the-art review of the
collective experience that the SHM community has gained in recent years.
It also extensively explores the potentials of the vision sensor as a
fast and cost-effective tool for solving SHM problems based on both time
and frequency domain analytics, broadening the application of emerging
computer vision sensor technology in not only scientific research but
also engineering practice.
Computer Vision for Structural Dynamics and Health Monitoring presents
fundamental knowledge, important issues, and practical techniques
critical to successful development of vision-based sensors in detail,
including robustness of template matching techniques for tracking
targets; coordinate conversion methods for determining calibration
factors to convert image pixel displacements to physical displacements;
sensing by tracking artificial targets vs. natural targets; measurements
in real time vs. by post-processing; and field measurement error sources
and mitigation methods. The book also features a wide range of tests
conducted in both controlled laboratory and complex field environments
in order to evaluate the sensor accuracy and demonstrate the unique
features and merits of computer vision-based structural displacement
measurement.
- Offers comprehensive understanding of the principles and applications
of computer vision for structural dynamics and health monitoring
- Helps broaden the application of the emerging computer vision sensor
technology from scientific research to engineering practice such as
field condition assessment of civil engineering structures and
infrastructure systems
- Includes a wide range of laboratory and field testing examples, as
well as practical techniques for field application
- Provides MATLAB code for most of the issues discussed including that
of image processing, structural dynamics, and SHM applications
Computer Vision for Structural Dynamics and Health Monitoring is ideal
for graduate students, researchers, and practicing engineers who are
interested in learning about this emerging sensor technology and
advancing their applications in SHM and other engineering problems. It
will also benefit those in civil and aerospace engineering, energy, and
computer science.
