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http://dx.doi.org/10.5762/KAIS.2020.21.1.768

Comparison of Characteristics of Drone LiDAR for Construction of Geospatial Information in Large-scale Development Project Area  

Park, Joon-Kyu (Department of Civil Engineering, Seoil University)
Lee, Keun-Wang (Department of the Multimedia Science, Chungwoon University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.1, 2020 , pp. 768-773 More about this Journal
Abstract
In large-scale land development for the rational use and management of national land resources, the use of geospatial information is essential for the efficient management of projects. Recently, drone LiDAR (Light Detection And Ranging) has attracted attention as an effective geospatial information construction technique for large-scale development areas, such as housing site construction and open-pit mines. Drone LiDAR can be classified into a method using SLAM (Simultaneous Localization And Mapping) technology and a GNSS (Global Navigation Satellite System)/IMU (Inertial Measurement Unit) method. On the other hand, there is a lack of analytical research on the application of drone LiDAR or the characteristics of each method. Therefore, in this study, data acquisition, processing, and analysis using SLAM and GNSS/IMU type drone LiDAR were performed, and the characteristics and utilization of each were evaluated. As a result, the height direction accuracy of drone LiDAR was -0.052~0.044m, which satisfies the allowable accuracy of geospatial information for mapping. In addition, the characteristics of each method were presented through a comparison of data acquisition and processing. Geospatial information constructed through drone LiDAR can be used in several ways, such as measuring the distance, area, and inclination. Based on such information, it is possible to evaluate the safety of large-scale development areas, and this method is expected to be utilized in the future.
Keywords
Drone; Geospatial Information; LiDAR; Open-pit Mine; Pointcloud;
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Times Cited By KSCI : 15  (Citation Analysis)
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