Study on the Application Status of 3D Point Cloud

This paper aims to discuss the application and development trend of 3D point cloud technology in different fields. As an effective means of digitizing the real world, 3D point cloud has been widely used in many fields, including computer-aided design, building information modeling, geographic information systems, robot navigation, autonomous vehicles, and the digitalization of cultural relics. In this paper, the techniques of acquiring 3D point cloud data are summarized, including laser scanning, structured light scanning and time flight measurement. Then, the latest developments in point cloud data preprocessing were analyzed. Further, the challenges of 3D point cloud technology are discussed, such as large data volume, slow processing speed and high precision requirements. Finally, this paper looks forward to the future development direction of 3D point cloud technology, especially in the integration of artificial intelligence and machine learning technology application potential. Through this study, we expect to provide researchers and practitioners in related fields with a comprehensive understanding of 3D point cloud technology and promote its application in a wider range of fields.

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Publication Details

Journal
Journal of Engineering Research and Reports
Published
2024-08-12
DOI
https://doi.org/10.9734/jerr/2024/v26i81250
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
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article

Study on the Application Status of 3D Point Cloud

Chuan Ding, Jiajun Ma, Huimin Yuan, Ziqi Luo
Journal of Engineering Research and Reports
Remote Sensing and LiDAR Applications
article

Study on the Application Status of 3D Point Cloud

Chuan Ding, Jiajun Ma, Huimin Yuan, Ziqi Luo
article en

Abstract

This paper aims to discuss the application and development trend of 3D point cloud technology in different fields. As an effective means of digitizing the real world, 3D point cloud has been widely used in many fields, including computer-aided design, building information modeling, geographic information systems, robot navigation, autonomous vehicles, and the digitalization of cultural relics. In this paper, the techniques of acquiring 3D point cloud data are summarized, including laser scanning, structured light scanning and time flight measurement. Then, the latest developments in point cloud data preprocessing were analyzed. Further, the challenges of 3D point cloud technology are discussed, such as large data volume, slow processing speed and high precision requirements. Finally, this paper looks forward to the future development direction of 3D point cloud technology, especially in the integration of artificial intelligence and machine learning technology application potential. Through this study, we expect to provide researchers and practitioners in related fields with a comprehensive understanding of 3D point cloud technology and promote its application in a wider range of fields.

Journal of Engineering Research and ReportsVol. 26(8)
North China University of Water Resources and Electric Power (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 88%
Remote Sensing and LiDAR Applications
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