Adapting CAD models of complex engineering objects to measured point cloud data

Gábor Erdos, Takahiro Nakano, József Váncza

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Construction, maintenance and retrofitting of complex engineering objects like factories or plants calls for matching their model and actual state that are inevitably different. The paper presents a generic method for tailoring the computer aided design (CAD) model of such objects to their state given in terms of measured 3D, high resolution point clouds. The workflow includes efficient storage of massive measurement data, segmentation of a triangulated mesh-based CAD model into features, matching and adapting the features to the data. The method is demonstrated in a real-world setting, using the CAD model and point cloud data of an industrial plant.

Original languageEnglish
Pages (from-to)157-160
Number of pages4
JournalCIRP Annals - Manufacturing Technology
Volume63
Issue number1
DOIs
Publication statusPublished - 2014

Keywords

  • Computer aided design (CAD)
  • Object recognition
  • Point cloud

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'Adapting CAD models of complex engineering objects to measured point cloud data'. Together they form a unique fingerprint.

  • Cite this