Automated Wall Detection in 2D CAD Drawings to Create Digital 3D Models

C. Wei, M. Gupta, T. Czerniawski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Generating digital 3D buildings models from scratch is time consuming and labor intensive. In this paper, we present an automated detection process leveraging computer vision and the information available in 2D drawings to reduce 3D modeling time. The recognition system is limited to walls and has two parts: (1) Image classification on walls by ResNet-50 model, (2) Object Detection on walls by YOLOv3 model. The system accepts new 2D drawings and outputs parameters of recognized walls. The parameters are input into Dynamo for 3D model reconstruction. We anticipate these types of systems, which rely on 2D drawings as recognition priors, will be pivotal to the industry's transition from 2D to 3D information modalities.

Original languageEnglish (US)
Title of host publicationProceedings of the 39th International Symposium on Automation and Robotics in Construction, ISARC 2022
PublisherInternational Association for Automation and Robotics in Construction (IAARC)
Pages152-158
Number of pages7
ISBN (Electronic)9789526952420
StatePublished - 2022
Event39th International Symposium on Automation and Robotics in Construction, ISARC 2022 - Bogota, Colombia
Duration: Jul 13 2022Jul 15 2022

Publication series

NameProceedings of the International Symposium on Automation and Robotics in Construction
Volume2022-July
ISSN (Electronic)2413-5844

Conference

Conference39th International Symposium on Automation and Robotics in Construction, ISARC 2022
Country/TerritoryColombia
CityBogota
Period7/13/227/15/22

Keywords

  • 2D Drawings
  • 3D Building Models
  • Deep Learning
  • Image Classification
  • Object Detection

ASJC Scopus subject areas

  • Building and Construction
  • Civil and Structural Engineering
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence
  • Computer Science Applications

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