Title: Current State and Trends of Point Cloud Segmentation in Construction Research
Authors: Prieto, Samuel A.; Mengiste, Eyob T.; Menon, Uday; Garcia de Soto, Borja
Abstract: 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.
Keywords: 3D Segmentation, Systematic Literature Review, Construction Industry, Point Cloud, Deep Learning, PointNet
DOI: doi.org/10.22260/ISARC2024/0126
Негізгі бет Paper ID 112 - ISARC 2024 by Eyob T Mengiste
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