A close-range photogrammetric model for tracking and performance-based forecasting earthmoving operations

Wahib Saif*, Adel Alshibani

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Purpose: This paper aims to present a highly accessible and affordable tracking model for earthmoving operations in an attempt to overcome some of the limitations of current tracking models. Design/methodology/approach: The proposed methodology involves four main processes: acquiring onsite terrestrial images, processing the images into 3D scaled cloud data, extracting volumetric measurements and crew productivity estimations from multiple point clouds using Delaunay triangulation and conducting earned value/schedule analysis and forecasting the remaining scope of work based on the estimated performance. For validation, the tracking model was compared with an observation-based tracking approach for a backfilling site. It was also used for tracking a coarse base aggregate inventory for a road construction project. Findings: The presented model has proved to be a practical and accurate tracking approach that algorithmically estimates and forecasts all performance parameters from the captured data. Originality/value: The proposed model is unique in extracting accurate volumetric measurements directly from multiple point clouds in a developed code using Delaunay triangulation instead of extracting them from textured models in modelling software which is neither automated nor time-effective. Furthermore, the presented model uses a self-calibration approach aiming to eliminate the pre-calibration procedure required before image capturing for each camera intended to be used. Thus, any worker onsite can directly capture the required images with an easily accessible camera (e.g. handheld camera or a smartphone) and can be sent to any processing device via e-mail, cloud-based storage or any communication application (e.g. WhatsApp).

Original languageEnglish
Pages (from-to)164-195
Number of pages32
JournalConstruction Innovation
Volume24
Issue number1
DOIs
StatePublished - 9 Jan 2024

Bibliographical note

Publisher Copyright:
© 2023, Emerald Publishing Limited.

Keywords

  • 3D data capturing
  • Close-range photogrammetry (CRP)
  • Construction 4.0
  • Cost and schedule forecasting
  • Delaunay triangulation
  • Digital camera
  • Earthmoving operations
  • Point cloud
  • Productivity monitoring
  • Smartphone

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science
  • Architecture
  • Civil and Structural Engineering
  • Building and Construction

Fingerprint

Dive into the research topics of 'A close-range photogrammetric model for tracking and performance-based forecasting earthmoving operations'. Together they form a unique fingerprint.

Cite this