TY - GEN
T1 - Current State and Trends of Point Cloud Segmentation in Construction Research
AU - Prieto, Samuel A.
AU - Mengiste, Eyob T.
AU - Menon, Uday
AU - de Soto, Borja García
N1 - Publisher Copyright:
© 2024 ISARC. All Rights Reserved.
PY - 2024
Y1 - 2024
N2 - The construction industry is witnessing a transformative shift with the integration of advanced technologies, especially in the topic of 3D segmentation. This study underscores the current state and challenges of 3D segmentation, with special emphasis on construction research, and provides an insightful understanding of the latest research developments and trends. The study also looks at the performance metrics of the most relevant techniques, as well as the main limitations and research gaps, highlighting the need for further research in highly-performing techniques based on Deep Learning for point cloud segmentation in construction applications.
AB - The construction industry is witnessing a transformative shift with the integration of advanced technologies, especially in the topic of 3D segmentation. This study underscores the current state and challenges of 3D segmentation, with special emphasis on construction research, and provides an insightful understanding of the latest research developments and trends. The study also looks at the performance metrics of the most relevant techniques, as well as the main limitations and research gaps, highlighting the need for further research in highly-performing techniques based on Deep Learning for point cloud segmentation in construction applications.
KW - 3D Segmentation
KW - Construction Industry
KW - Deep Learning
KW - Point Cloud
KW - Systematic Literature Review
UR - http://www.scopus.com/inward/record.url?scp=85199670863&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85199670863&partnerID=8YFLogxK
U2 - 10.22260/ISARC2024/0126
DO - 10.22260/ISARC2024/0126
M3 - Conference contribution
AN - SCOPUS:85199670863
T3 - Proceedings of the International Symposium on Automation and Robotics in Construction
SP - 972
EP - 979
BT - Proceedings of the 41st International Symposium on Automation and Robotics in Construction, ISARC 2024
PB - International Association for Automation and Robotics in Construction (IAARC)
T2 - 41st International Symposium on Automation and Robotics in Construction, ISARC 2024
Y2 - 3 June 2024 through 5 June 2024
ER -