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Process Development for Optimizing Sensor Placement Using 3D Information by LiDAR  

Yu, Han-Seo ((주)올포랜드 국토공간정보사업본부)
Lee, Woo-Kyun (고려대학교 환경생태공학부)
Choi, Sung-Ho (고려대학교 환경생태공학과)
Kwak, Han-Bin (고려대학교 환경생태공학과)
Kwak, Doo-Ahn (고려대학교 환경생태공학과)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.18, no.2, 2010 , pp. 3-12 More about this Journal
Abstract
In previous studies, the digital measurement systems and analysis algorithms were developed by using the related techniques, such as the aerial photograph detection and high resolution satellite image process. However, these studies were limited in 2-dimensional geo-processing. Therefore, it is necessary to apply the 3-dimensional spatial information and coordinate system for higher accuracy in recognizing and locating of geo-features. The objective of this study was to develop a stochastic algorithm for the optimal sensor placement using the 3-dimensional spatial analysis method. The 3-dimensional information of the LiDAR was applied in the sensor field algorithm based on 2- and/or 3-dimensional gridded points. This study was conducted with three case studies using the optimal sensor placement algorithms; the first case was based on 2-dimensional space without obstacles(2D-non obstacles), the second case was based on 2-dimensional space with obstacles(2D-obstacles), and lastly, the third case was based on 3-dimensional space with obstacles(3D-obstacles). Finally, this study suggested the methodology for the optimal sensor placement - especially, for ground-settled sensors - using the LiDAR data, and it showed the possibility of algorithm application in the information collection using sensors.
Keywords
Optimal Sensor Placement; LiDAR; 3-D Spatial Information; Sensor detection model; Obstacle model;
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Times Cited By KSCI : 3  (Citation Analysis)
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