Towards UAVs in Construction: Advancements, Challenges, and Future Directions for Monitoring and Inspection

• Published in: Drones (Basel) Vol. 7; no. 3; p. 202
• Main Authors: Liang, Han, Lee, Seong-Cheol, Bae, Woosung, Kim, Jeongyun, Seo, Suyoung
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2023
• Subjects: Aircraft; Artificial intelligence; construction future directions; Construction industry; Construction inspection; Data analysis; Data collection; Data processing; Drone aircraft; Drones; Efficiency; Inspection; Machine learning; Monitoring; New technology; Regulatory agencies; remote sensing; Safety; Sensors; structural health monitoring; Supervision; Technology application; UAV technology; UAV-based inspection; Unmanned aerial vehicles; South Korea
• ISSN: 2504-446X; 2504-446X
• DOI: 10.3390/drones7030202

The use of UAVs for monitoring and inspection in the construction industry has garnered considerable attention in recent years due to their potential to enhance safety, efficiency, and accuracy. The development and application of various types of drones and sensors in the construction industry have opened up new data collection and analysis possibilities. This paper provides a thorough examination of the latest developments in the use of UAVs for monitoring and inspection in the construction industry, including a review of the current state of UAVs and an exploration of the types of drones and sensors applied and their applications. It also highlights the technological advancements in this field. However, as with any new technology, there are challenges and limitations that need to be addressed, such as regulatory and legal concerns, technical limitations, data processing challenges, training and expertise, and safety. Finally, we offer insights into potential solutions to these challenges, such as innovative sensors and imaging technologies, integration with other construction technologies, and the use of machine learning and AI for data analysis, which are some of the potential areas for future investigation, and highlight the prospects for drone-based construction inspection.