Synopsis
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 quality
- Offers valuable insights on how to convert the raw data into actionable information and knowledge stored in Digital Twins
- Bridges the gap between the theoretical aspects and real-life applications of computer vision
About the Authors
Dr Ioannis Brilakis completed his PhD in Civil Engineering at the University of Illinois, Urbana Champaign in 2005. He then worked as an Assistant Professor at the Departments of Civil and Environmental Engineering, University of Michigan, Ann Arbor (2005-2008) and Georgia Institute of Technology, Atlanta (2008-2012) before moving to Cambridge in 2012 as a Laing O’Rourke Lecturer. He was promoted to University Reader in October 2017. He has also held visiting posts at the Department of Computer Science, Stanford University as a Visiting Associate Professor of Computer Vision (2014) and at the Technical University of Munich as a Visiting Professor, Leverhulme International Fellow (2018-2019), and Hans Fischer Senior Fellow (2019-2021). He is a recipient of the 2019 ASCE J. James R. Croes Medal, the 2018 ASCE John O. Bickel Award, the 2013 ASCE Collingwood Prize, the 2012 Georgia Tech Outreach Award, the NSF CAREER award, and the 2009 ASCE Associate Editor Award. Dr Brilakis is an author of over 190 papers in peer-reviewed journals and conference proceedings, an Associate Editor of the ASCE Computing in Civil Engineering, ASCE Construction Engineering and Management, Elsevier Automation in Construction, and Elsevier Advanced Engineering Informatics Journals, and the past chair of the Board of Directors of the European Council on Computing in Construction.
Dr Haas’ research, teaching and consulting are in the areas of construction technology and the circular economy in the built environment. He has received numerous research and teaching awards. He serves on a number of editorial boards and on professional committees for organizations such as the American Society of Civil Engineers (ASCE), the Natural Sciences and Engineering Research Council (NSERC) of Canada and the International Association for Automation and Robotics in Construction (IAARC). His research has been supported by numerous companies as well as agencies such as TxDOT, MTO, NSERC, NSF, and the CRC. He is a member of the Canadian Academy of Engineering and a Fellow of the ASCE. He was elected to the US National Academy of Construction in 2013. In 2014 received the CSCE (Canadian Society of Civil Engineers) Walter Shanly Award for outstanding contributions to the development and practice of construction engineering in Canada. In 2015 he received the ASCE Peurifoy Construction Research Award, the premier international career award in construction research. In 2017, he received the University of Waterloo Award of Excellence in Graduate Supervision. In 2019, he received the ASCE Computing in Civil Engineering Award, as well as the CSCE Alan Russell Award.
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