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

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...

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Bibliographic Details
Published in:Electronics (Basel) 2024-01, Vol.13 (1), p.138
Main Authors: Kim, Hyung-Jin, Kim, Jae-Yoon, Kim, Ji-Woo, Kim, Sung-Keun
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Asphalt pavements
Automation
Computer vision
Construction industry
Construction sites
Data collection
Decomposition
Drone aircraft
Drone vehicles
Efficiency
Genetic algorithms
Harnesses
Industry 4.0
Linear programming
Mechanization
Methods
Real time
Road construction
Road-rollers
Rollers
Sediments
Shear strength
Skilled workers
Unmanned aerial vehicles
Workflow
Workloads
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Summary: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.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics13010138