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포인트 클라우드 데이터의 픽셀화 기반 건축물 실내의 2D도면 도출에 관한 연구
A study on the 2D floor plan derivation of the indoor Point Cloud based on pixelation
정용일 ( Jung Yong-il ) , 오상민 ( Oh Sang-min ) , 류민우 ( Ryu Min-woo ) , 강남우 ( Kang Nam-woo ) , 조훈희 ( Cho Hun-hee )
UCI I410-ECN-0102-2021-500-000794399
이 자료는 4페이지 이하의 자료입니다.

Recently, a method of deriving an efficient 2D floor plan has been attracting attention for remodeling of old buildings with inaccurate 2D floor plans, and thus, studies on reverse engineering of indoor Point Cloud Date(PCD) have been actively conducted. However, in the case of a indoor PCD, due to interference of indoor objects, available equipment is limited to Mobile Laser Scanner(MLS), which causes a efficiency reduction of data processing. Therefore, this study proposes an automatic derivation algorithm for 2D floor plan of indoor PCD based on pixelation. First, the scanned indoor PCD is projected on the XY coordinate plane. Second, a point distribution of each pixel in the projected PCD is derived using a pixelation. Lastly, 2 floor plan derivation based on the algorithm is performed.

[자료제공 : 네이버학술정보]
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