Книга Computer Vision for Structural Dynamics и Health Monitoring представлена автором Dongming Feng. Она содержит обширный обзор теории и практических приемов применения сенсоров на основе компьютерного зрения для мониторинга состояния сооружений.
Первая часть книги знакомит читателя с научным исследованием компьютерного зрения и его практическими применениями в области мониторинга состояния зданий и сооружений (ЗСС). Учебник представляет собой современное состояние обзора всего накопленного опыта сообществом ЗСС за последние годы. Авторы также подробно исследуют возможности датчика зрения в качестве быстрого и экономически эффективного инструмента для решения задач ЗСС на основе анализа как частотной, так и временной областей, расширяя область применения современных технологий датчиков зрения не только в научных исследованиях, но и в практической деятельности инжиниринг практика. Книга Computer Vision для Structural Dynamicsи Health Monitoring предоставляет фундаментальные знания, важные вопросы и практические методы, необходимые для успешного развития датчиков на базе зрения, включая устойчивость методов сопоставления шаблонов для отслеживания целей, методы преобразования координат для определения калиброванных коэффициентов для преобразования пиксельных смещений изображения в физические смещения, способы обнаружения цели искусственные источники против природных, различие между измерениями в реальном времени и путем последующей обработки, поле источники ошибок измерения и методы их устранения. Книга также содержит широкий спектр тестов, проведенных как в контролируемых лабораторных, так и сложных
Comprehensive coverage of computer vision in structural dynamic and health monitoring by Dongming Feng. Offers an in-depth understanding of both the theory and practical applications of vision sensors. The book is unique in that it bridges the gap between theory and practice, providing a valuable resource for researchers and practitioners alike. Also features practical techniques for applying vision sensors in engineering environments, such as laboratory and field conditions. MATLAB code is provided for many of the topics discussed, making this an excellent resource for those looking to implement these techniques in their own work.
This book offers the research on computer-vision-based technologies for structural dynamics applications and it is considered the most significant advance that it overcomes the lacuna between the theoretical work on structural observation using computer vision in research and its practical implementation for structure health monitoring.
The book delivers detailed discussed on critical advanced process for the successful realization of the computer-aided vision-enabled structures sensor and their notable features that include:
* Displacements tracking techniques * Calibration factor determination methods * Distinguishing artificial or natural scene targets * Temporal vs spatial measurements and so forth.
Additionally, highly tested scenarios with both simulated and real conditions are discussed along with specific variation performances level and alignment with the proposed computationally prudent solutions. Through historic perception, we are going to have numerous other benefits in the years to come as well when structure health and safety researchers adapt these computer-vision sensitive measuring capabilities to some common errors and limitations associated with traditional approaches which might obnoxiously restrict newer areas of development.
Электронная Книга «Computer Vision for Structural Dynamics and Health Monitoring» написана автором Dongming Feng в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9781119566571
Описание книги от Dongming Feng
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.
