Open access peer-reviewed Edited Volume

LiDAR Technology - From Surveying to Digital Twins

Linh Truong - Hong

University College Dublin

Dr. Linh Truong-Hong is a Marie Curie Fellowship at Optical and Laser Remote Sensing Group. His research interests are to develop integrated frameworks to deploy LiDAR and Photogrammetry in 3D objection reconstruction and change detection for infrastructure inspection and assessment, construction management, and smart city. Dr. Truong-Hong has published more than 60 scientific papers (with a total citation of +1300) and filed 2 patents.

Co-editor:

Anh Thu Phan

Ho Chi Minh City University of Technology

Dr. Anh Thu Phan got a Master’s degree in 2014 from the Nagaoka University of Technology where she studied rice growth monitoring using laser scanning techniques and obtained a Ph.D. degree at the same University in 2017. Since then, she has been a full-time lecturer at the Department of Geomatics Engineering, Faculty of Civil Engineering, the Ho Chi Minh City University of Technology, Vietnam. Her research focuses on the application of low-cost laser scanners and closed-range photogrammetry.

Covering

Terrestrial Laser Scanner Mobile Laser Scanner Handheld Scanner Drone-LiDAR Machine Learning Semantic Information Scan-to-BIM Geometric Representation Geometric Modeling 3D Mesh Digital Twins Change Detection

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About the book

LiDAR is a non-contact measurement used to acquire three-dimensional (3D) topographic information on visible surfaces of objects. Nowadays, LiDAR usage is not only limited to surveying as it was originally developed but also rapidly offers a lot of applications from civil engineering, urban modeling, mapping, automobile, and agriculture. Although a recent development of LiDAR technology allows capturing a large area in a short time with high accuracy, identifying scanning parameters or trajectories is still based on the rule of the thumb. Datapoint clouds from a single scan are highly accurate but combining the point clouds from multiple scans is still an issue. Although a lot of methods based on geometric analysis and machine learning have been developed for the recognition, classification, and extraction of objects from the point clouds, robust and efficient methods are still adopted for various types of laser scanning point clouds and data quality is still questioned. Moreover, converting raw point clouds to 3D geometric models still requires intensive labor work. As such, generating 3D digital models and extracting semantic information from the point clouds is one of the important keys to generating digital twins, but the automatic process is still a high challenge. The cost, time, and quality of the 3D model can be a barrier to this process. This book aims to investigate the state of the art in using LiDAR technologies in a role to create digital twins.

Publishing process

Book initiated and editor appointed

Date completed: March 29th 2022

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline for chapter proposals: June 8th 2022

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

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Approved chapters written in full and submitted

Deadline for full chapters: August 7th 2022

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: October 26th 2022

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: December 25th 2022

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About the editor

Linh Truong - Hong

University College Dublin

Dr. Linh Truong-Hong is a researcher at the Department of Geoscience & Remote Sensing, the Delft University of Technology after he finished a Marie Curie Fellowship at the same Department. He obtained BEng. and MEng. from Ho Chi Minh City University of Technology and a Ph.D. degree from University College Dublin. He was a senior researcher at University College Dublin (2013-2018) after finishing his post-doctoral research at the Dublin Institute of Technology (2011-2013). His research interests are to develop integrated frameworks to deploy LiDAR and Photogrammetry in 3D objection reconstruction and change detection for infrastructure inspection and assessment, construction management, and a smart city. Dr. Truong-Hong has published more than 60 scientific papers (with a total citation +1300) and filed 2 patents. His research activity has been recognized through 6 peer-reviewed international awards. His research projects were recently funded by Ireland and European Research Council.

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