PlumX Metrics
Embed PlumX Metrics

EVALUATION OF 3D MODEL OF REBAR FOR QUANTITATIVE PARAMETERS

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, ISSN: 1682-1750, Vol: 48, Issue: 2/W1-2022, Page: 215-220
2022
  • 4
    Citations
  • 0
    Usage
  • 15
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    4
  • Captures
    15
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

Universiti Teknologi PETRONAS Researchers Have Provided New Data on Photogrammetry Remote Sensing and Spatial Information Sciences (Evaluation of 3D Model of Rebar For Quantitative Parameters)

2022 DEC 27 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Science Daily -- A new study on photogrammetry remote sensing and spatial

Conference Paper Description

The construction industry practices and processes are evolving constantly, and with the emergence of Industry 4.0, the use of technologies is expanding. Construction progress monitoring is an essential project lifecycle process; project success and timely completion are linked with effective progress monitoring operations and adopted tools. In the domain of automated construction progress monitoring, 3D modeling techniques have been studied a lot, with laser scanning and photogrammetry as two main methods. Although laser scanning provides precise and detailed 3D models, it is an expensive technology. Moreover, the literature reveals that for digitized construction progress monitoring, the major focus has been given to primary reinforced concrete (RC) structures compared to rebar. In contrast, rebar is a key element in RC structures, as structural integrity is dependent on steel reinforcement design, which makes rebar monitoring an essential activity. This study aimed to devise an automated monitoring digital-based methodology for effective and efficient onsite rebar monitoring considering quantitative parameters e.g., rebar length and rebar spacing. The developed module successfully interpreted photogrammetry-based 3D point cloud rebar model for the aforementioned parameters with an overall achieved accuracy ≥ 98%.

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know