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A Study for Removing Road Shields from Mobile Mapping System of the Laser Data using RTF Filtering Techniques
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 Title & Authors
A Study for Removing Road Shields from Mobile Mapping System of the Laser Data using RTF Filtering Techniques
Song, Hyun-Kun; Kang, Byoung-Ju; Lee, Sung-Hun; Choi, Yun-Soo;
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 Abstract
It is a global trend to give attention to generating precise 3D navigation maps since eco-friendly vehicles have become a critical issue due to environmental protection and depletion of fossil fuels. To date, Mobile Mapping System (MMS) has been a efficient method to acquire the data for generating the 3D navigation maps. To achieve this goal so far in the Mobile Mapping System using the data acquisition method has been proposed to be most effective. For this study the basic RTF filter algorithm was applied to modify to fit MMS quantitative analysis derived floor 99.71%, 99.95% of the highly non-producers to maintain accuracy and high-precision 3D road could create DEM. In addition, the roads that exist within the cars, roadside tree, road cars, such as the median strips have been removed to shields it takes to get results effectively, and effective in practical applications and can be expected to improve operational efficiency is considered.
 Keywords
DEM;MMS(Mobile Mapping System);RTF(Recursive Terrain Fragmentation);
 Language
Korean
 Cited by
1.
건설현장에서의 토공량산출을 위한 저가형 모바일 레이저시스템의 적용성 평가,김인섭;

한국측량학회지, 2012. vol.30. 6_1, pp.539-547 crossref(new window)
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