Automatic component identification using artificial neural network techniques

M. Schleinkofer, A. Bastian, C. Van Treeck, E. Rank

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Updating existing plans or, where the original plans are no longer accessible, producing a completely new set of drawings to reflect the current state of existing building stock is a common requirement in the refurbishment and redevelopment of old buildings. A convenient, promising way of collecting such data is to make use of laser measurement technology. The models obtained with this technique then have to be transferred to a building product model in order to meet the needs of the subsequent technical project planning stage. We therefore utilise artificial intelligence procedures and propose a method based on virtual neural networks for the analysis of the extracted objects. Objects are categorised with respect to building component classes.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005
PublisherCivil-Comp Press
Volume82
ISBN (Print)1905088051, 9781905088058
StatePublished - 2005
Event8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005 - Rome, Italy
Duration: 30 Aug 20052 Sep 2005

Conference

Conference8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005
Country/TerritoryItaly
CityRome
Period30/08/052/09/05

Keywords

  • AEC
  • Artificial intelligence
  • Building product modelling
  • CAD
  • Neural network
  • Solid model

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