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Laing O'Rourke Centre for Construction Engineering and Technology

 
Infrastructure Computer Vision - news

Pre-order the soon-to-be-released Infrastructure Computer Vision authored by Dr Ioannis Brilakis, Director of the Construction Information Technology (CIT) Laboratory - part of the Laing O’Rourke Centre for Construction Engineering and Technology in the University of Cambridge - and Dr Carl Haas, University of Waterloo Research Chair and Chair of the Department of Civil and Environmental Engineering.

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.

 

Pre-order: here
Expected Released Date: 6 December, 2019

Key Features

Infrastructure Computer Vision:

  • 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

 

 

Readership

Professionals and students in Built Environment disciplines: asset owners, designers, contractors, subcontractors, and asset operators/maintainers

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 Carl Haas is the Chair of the Department of Civil and Environmental Engineering and a University Research Chair at the University of Waterloo in Canada.  His interests include infrastructure computer vision, construction human-robotic systems, capital projects process analytics, construction productivity, and circular economy in the built environment. He serves on a number of editorial boards and on professional committees for organizations such as ASCE (American Society of Civil Engineers), NSERC and IAARC. 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. He received the ASCE Peurifoy Construction Research Award In 2015. 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 and the Canadian Society of Civil Engineers’ Alan Russell Award.  

 

The text in this work is licensed under a Creative Commons Attribution 4.0 International License.

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Image

© Dr Ioannis Brilakis

Latest news

PhD studentships advertised as part of the Cloud-based Building Information Modelling (CBIM) training network

13 November 2019

The following PhD studentships are available at the University of Cambridge on the European Commission-funded, Marie Sklodowska-Curie "CBIM" European Training Network (ETN).

Infrastructure Computer Vision – Book available for pre-order

28 October 2019

Pre-order the soon-to-be-released Infrastructure Computer Vision to explore advanced information and sensing technologies, and how to apply them to individual projects.

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