Methodology of real-time 3D point cloud mapping with UAV lidar

IF 3.1 Q2 ENGINEERING, GEOLOGICAL International Journal of Engineering and Geosciences Pub Date : 2023-10-15 DOI:10.26833/ijeg.1178260
Levent CANDAN, Elif KAÇAR
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引用次数: 4

Abstract

Accurate and timely availability of LiDAR data is vital in some cases. To facilitate monitoring of any environmental changes, LiDAR systems can be designed, and carried by UAV platforms that can take off without major preparation. In this study, the methodology of the real-time LiDAR mapping system was developed in the laboratory. The designed system shortens the target-based flight planning and post-flight data processing. In this system, the data is taken instantly and thus the change in the mapping area can be detected quickly. The simulation system, produce 3D point cloud, and data was stored in a database for later analysis. The 3D visualization of the data obtained from our developed UAV-LiDAR system was carried out with a platform-independent interface designed as web-based. The X3D file format used in the study to produce 3D point data provide an infrastructure for AI and ML-based systems in identifying urban objects in systems containing big data such as LiDAR.
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无人机激光雷达实时三维点云测绘方法
在某些情况下,准确及时的激光雷达数据至关重要。为了便于监测任何环境变化,可以设计激光雷达系统,并由无人机平台携带,无需进行重大准备即可起飞。在本研究中,实时激光雷达测绘系统的方法是在实验室开发的。所设计的系统缩短了基于目标的飞行规划和飞行后数据处理。在该系统中,数据是即时采集的,因此可以快速检测到映射区域的变化。通过仿真系统,生成三维点云,并将数据存储在数据库中供以后分析。从我们开发的无人机-激光雷达系统中获得的数据的三维可视化是通过基于web设计的独立于平台的界面进行的。研究中用于生成3D点数据的X3D文件格式为人工智能和基于ml的系统提供了基础设施,用于识别包含激光雷达等大数据的系统中的城市物体。
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
30 weeks
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