Acknowledgement
This work was supported by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MOST) (R01-2007-000-20577-0).
Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)
- 2008.11a
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- Pages.656-657
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- 2008
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Buffer Growing Method for Road Points Extraction from LiDAR Data
- Jiangtao Li (Div. of Electronics and Information Engineering) ;
- Hyo Jong Lee (Div. of Electronics and Information Engineering) ;
- Gi Sung Cho (Dept. of Civil Engineering)
- Published : 2008.11.14
Abstract
Light Detection and Ranging (LiDAR) data has been used to detect the objects of earth surface from huge point clouds gotten from the laser scanning system equipped on airplane. According to the precision of 3~5 points per square meter, objects like buildings, cars and roads can be easily described and constructed. Many various areas, such as hydrological modeling and urban planning adopt this kind of significant data. Researchers have been engaging in finding accurate road networks from LiDAR data recent years. In this paper, A novel algorithm with regard to extracting road points from LiDAR data has been developed based on the continuity and structural characteristics of road networks.
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