User-Guided Dimensional Analysis of Indoor Building Environments from Single Frames of RGB-D Sensors

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

Research output: Contribution to journalArticlepeer-review

Abstract

In many construction, facility management, and inspection tasks, dimensional analysis of geometric features and artifacts is significant for spatial analysis and decision making. Tasks such as as-built geometry modeling and robotic workspace generation need to efficiently interpret 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 various positions. This paper presents a user-guided dimensional analysis approach to automatically acquire geometric information from a single frame of a red-green-blue and depth (RGB-D) sensor. In the first step, a RGB-D sensor is used to capture three-dimensional (3D) point clouds of building environments. Then, by extracting planes and performing geometric analysis, the dimensional information of objects of interest is obtained from a single frame. The designed user-guidance system evaluates the completeness of the acquired data, and then provides interactive guidance for moving the sensor to acquire complete data, from which stable and accurate geometric measurements can be obtained. The proposed method has been tested on hallways, door frames, and stairs in a building environment. The experimental results demonstrate that the method offers significant promise in enabling dimensional analysis in a wide variety of real-time measurement contexts.

Original languageEnglish (US)
Article number04017006
JournalJournal of Computing in Civil Engineering
Volume31
Issue number4
DOIs
StatePublished - Jul 1 2017

Keywords

  • Dimension
  • Geometric measurement
  • Indoor scene
  • Red-green-blue and depth (RGB-D) sensor
  • User guidance

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

Fingerprint Dive into the research topics of 'User-Guided Dimensional Analysis of Indoor Building Environments from Single Frames of RGB-D Sensors'. Together they form a unique fingerprint.

Cite this