Unmanned Aerial Vehicle-Based Automated Path Generation of Rollers for Smart Construction

  • Hyung Jin Kim
  • , Jae Yoon Kim
  • , Ji Woo Kim
  • , Sung Keun Kim
  • , Wongi S. Na

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

The construction industry is continuously evolving, seeking innovative solutions to enhance efficiency, reduce costs, and improve safety. Unmanned aerial vehicles (UAVs), commonly known as drones, have emerged as a transformative technology in the construction sector, offering numerous advantages in data collection and site management. This paper presents a novel approach for utilizing UAVs to automate the path generation of rollers, a crucial element in the construction of roads and other large-scale infrastructure projects. A UAV was used to scan the target area to create a model; the next step was to generate the path for the rollers. Traditionally, the process of determining optimal roller paths is labor-intensive and reliant on manual surveys and engineering expertise. This study proposes a streamlined workflow that harnesses UAVs equipped with computer vision technology to capture high-resolution topographical data of construction sites. This data is then processed through an algorithm created by the authors that automatically generates optimized roller paths based on several factors.

Original languageEnglish
Article number138
JournalElectronics (Switzerland)
Volume13
Issue number1
DOIs
StatePublished - Jan 2024

Keywords

  • aerial inspection
  • drone
  • path generation
  • smart construction
  • UAV

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