Selected papers from the ASCE International Conference on Computing in Civil Engineering 2019, held in Atlanta, Georgia, June 17-19, 2019. Sponsored by the Computing Division of ASCE.This collection contains 77 peer-reviewed papers on data, sensing, and analytics in civil engineering.Topics include: big data and machine learning; reality capture technologies; LiDAR and RGB-D; and robotics, automation, and control.This proceedings will be of interest to researchers and practitioners working with emerging computing technologies in a wide range of civil and construction engineering applications.

Selected papers from the ASCE International Conference on Computing in Civil Engineering 2019, held in Atlanta, Georgia, June 17-19, 2019. Sponsored by the Computing Division of ASCE.This collection contains 73 peer-reviewed papers on smart cities, sustainability, and resilience.Topics include: monitoring, assessment, and maintenance of built environment; intelligent and sustainable transportation safety monitoring and assessment; and resilience of urban energy systems.This proceedings will be of interest to researchers and practitioners working with emerging computing technologies in a wide range of civil and construction engineering applications.

This collection contains 80 peer-reviewed papers on visualization ,information modeling, and simulation. Topics include: applications of augmented reality and immersive virtual reality in structural design and construction; applications of building information modeling (BIM); ontologies and semantic approaches; and simulation and process modeling.This proceedings will be of interest to researchers and practitioners working with emerging computing technologies in a wide range of civil and construction engineering applications.

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