Infrastructure Computer Vision

Infrastructure Computer Vision delves into this field of computer science that works on enabling computers to see, identify, process images and provide appropriate output in the same way that human vision does. However, implementing these advanced information and sensing technologies is difficult for many engineers. This book provides civil engineers with the technical detail of this advanced technology and how to apply it to their individual projects.

Explains how to best capture raw geometrical and visual data from infrastructure scenes and assess their qualityOffers valuable insights on how to convert the raw data into actionable information and knowledge stored in Digital TwinsBridges the gap between the theoretical aspects and real-life applications of computer vision

1. Introduction

Ioannis Brilakis and Carl Haas

2. Surveying, Geomatics, and 3D Reconstruction

Pingbo Tang, Steven Vick, Jiawei Chen and Stephanie German Paal

3. Scene understanding and model generation

Eva Agapaki and Mohammad Nahangi

4. Use Cases for Owners and Maintainers

Varun Kasireddy, Yujie Wei and Burcu Akinci

5. Use Cases for Architects and Engineers

Stephanie German Paal, Steven Vick and Marianna Kopsida

6. Use Cases for Contractors

Hyoungkwan Kim

7. Use Cases for Subcontractors and Fabricators

Mohammad Nahangi and Minkoo Kim

8. The Future

Carl Haas and Ioannis Brilakis