User-guided dimensional analysis of indoor scenes using depth sensors

Yong Xiao, Chen Feng, Yuichi Taguchi, Vineet R. Kamat

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

Abstract

In many civil engineering tasks, dimensional analysis of environmental objects is significant for spatial analysis and decision-making. Tasks such as as-built geometry generation need to efficiently interpret the critical dimensions of specific objects (e.g., diameter of a pipe, width of an opening) in a potentially cluttered environment based on data gathered from different positions. This paper presents a user-guided dimensional analysis approach to automatically acquire geometric information from a single frame of a depth sensor. Firstly a depth sensor is used to capture three-dimensional (3D) point clouds of indoor scenes. Then by extracting planes and performing geometric analysis, the dimensional information of objects of interest is obtained from a single frame. Our user guidance system evaluates the quality of the current data and measurement and provides interactive guidance for moving the sensor to acquire higher quality data, from which more accurate geometric measurements can be obtained. The proposed method has been tested on seven hallways and six door frames. The experimental results demonstrate that the method offers significant promise in enabling accurate dimensional analysis in a wide variety of civil engineering measurement contexts.

Original languageEnglish (US)
Title of host publication32nd International Symposium on Automation and Robotics in Construction and Mining
Subtitle of host publicationConnected to the Future, Proceedings
PublisherInternational Association for Automation and Robotics in Construction I.A.A.R.C)
ISBN (Electronic)9789517585972
StatePublished - Jul 1 2015
Event32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, ISARC 2015 - Oulu, Finland
Duration: Jun 15 2015Jun 18 2015

Other

Other32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, ISARC 2015
CountryFinland
CityOulu
Period6/15/156/18/15

Fingerprint

Civil engineering
Sensors
Decision making
Pipe
Geometry

Keywords

  • Depth sensor
  • Dimension
  • Geometric measurement
  • Indoor scene
  • User guidance

ASJC Scopus subject areas

  • Building and Construction
  • Artificial Intelligence
  • Civil and Structural Engineering
  • Hardware and Architecture

Cite this

Xiao, Y., Feng, C., Taguchi, Y., & Kamat, V. R. (2015). User-guided dimensional analysis of indoor scenes using depth sensors. In 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings International Association for Automation and Robotics in Construction I.A.A.R.C).

User-guided dimensional analysis of indoor scenes using depth sensors. / Xiao, Yong; Feng, Chen; Taguchi, Yuichi; Kamat, Vineet R.

32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings. International Association for Automation and Robotics in Construction I.A.A.R.C), 2015.

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

Xiao, Y, Feng, C, Taguchi, Y & Kamat, VR 2015, User-guided dimensional analysis of indoor scenes using depth sensors. in 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings. International Association for Automation and Robotics in Construction I.A.A.R.C), 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, ISARC 2015, Oulu, Finland, 6/15/15.
Xiao Y, Feng C, Taguchi Y, Kamat VR. User-guided dimensional analysis of indoor scenes using depth sensors. In 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings. International Association for Automation and Robotics in Construction I.A.A.R.C). 2015
Xiao, Yong ; Feng, Chen ; Taguchi, Yuichi ; Kamat, Vineet R. / User-guided dimensional analysis of indoor scenes using depth sensors. 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings. International Association for Automation and Robotics in Construction I.A.A.R.C), 2015.
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