3차원 점군 데이터에 대한 선박 소부재의 경계 및 홀 인식 방법

Ships are constructed by welding steel plates into blocks and assembling these blocks to form the hull. The sub-assembly process involves assembling stiffeners on thin steel plates. To auto- mate this process, it is necessary to automatically recognize the workpiece for welding and per- form dimensi...

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Published in한국CDE학회 논문집 Vol. 29; no. 2; pp. 102 - 111
Main Authors 이노준(Noh Jun Lee), 김상우(Sang Woo Kim), 권기연(Ki-Youn Kwon)
Format Journal Article
LanguageKorean
Published (사)한국CDE학회 01.06.2024
한국CDE학회
Subjects
기계공학
Sub-assembly
Boundary recognition
Point cloud
Online AccessGet full text
ISSN2508-4003
2508-402X
DOI10.7315/CDE.2024.102

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Abstract Ships are constructed by welding steel plates into blocks and assembling these blocks to form the hull. The sub-assembly process involves assembling stiffeners on thin steel plates. To auto- mate this process, it is necessary to automatically recognize the workpiece for welding and per- form dimensional quality inspection. This study proposes a method for extracting holes and boundaries of sub-assemblies in shipbuilding for part recognition and dimensional quality inspection using point cloud data obtained from depth cameras or 3D laser scanners. A grid structure is created in the point cloud data to remove noise and extract external boundaries and holes. Noise is identified by relatively low point density areas, and boundaries and holes can be created using points from the grid encountered first when approached from outside or inside. This proposed method has been tested on several real models to demonstrate the feasibility. KCI Citation Count: 1
AbstractList Ships are constructed by welding steel plates into blocks and assembling these blocks to form the hull. The sub-assembly process involves assembling stiffeners on thin steel plates. To auto- mate this process, it is necessary to automatically recognize the workpiece for welding and per- form dimensional quality inspection. This study proposes a method for extracting holes and boundaries of sub-assemblies in shipbuilding for part recognition and dimensional quality inspection using point cloud data obtained from depth cameras or 3D laser scanners. A grid structure is created in the point cloud data to remove noise and extract external boundaries and holes. Noise is identified by relatively low point density areas, and boundaries and holes can be created using points from the grid encountered first when approached from outside or inside. This proposed method has been tested on several real models to demonstrate the feasibility. KCI Citation Count: 1
Author 권기연(Ki-Youn Kwon)
이노준(Noh Jun Lee)
김상우(Sang Woo Kim)
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Boundary recognition
Point cloud
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Title 3차원 점군 데이터에 대한 선박 소부재의 경계 및 홀 인식 방법
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