Adaptive Fractal Quadtree Approach for Efficient Drone-Based Construction Site Safety Inspection

Details

• Journal Article:
  Proceedings of the 42nd International Symposium on Automation and Robotics in Construction (ISARC), July 28-31, 2025, Montreal, Canada
• Personal Author:
  Cheng, Marvin ; Liang, Ci-Jyun ; Camargo, Hugo E.
• Description:
  This study presents a novel approach for optimizing the flight paths of multiple drones during construction site inspection and monitoring by leveraging image compression techniques, specifically the fractal quadtree method. Traditional path planning methods often fail to account for varying levels of complexity across the construction site, leading to inefficiencies in energy consumption and scanning time. By applying the fractal quadtree approach, we dynamically adapt grid sizes based on the complexity of the initial captured site images, allowing drones to prioritize more intricate areas while minimizing focus on simpler regions. Simulation results demonstrate that this method efficiently reduces the number of required scans compared to conventional approaches, significantly improving the overall efficiency of construction site inspections. The integration of this adaptive path planning strategy provides a scalable and time-saving solution for hazard identification and site monitoring, ensuring more efficient use of drone resources.
• Subjects:
  Construction Industry Occupational Health Robotics Safety
• Keywords:
  Author Keywords: Path Planning; Safety; Drones; Fractal Algorithm Construction; Algorithms; Robotics; Safety Engineering; Safety Monitoring; Imaging Techniques; Hazard Identification; Workplace Monitoring;
• Source:
  Proceedings of the 42nd International Symposium on Automation and Robotics in Construction (ISARC), July 28-31, 2025, Montreal, Canada. New York: International Association for Automation and Robotics in Construction (IAARC), 2025 Jul; :97-104
• ISBN:
  9780645832228
• ISSN:
  2413-5844
• Publisher:
  International Association for Automation and Robotics in Construction (IAARC)
• Document Type:
  Text
• Genre:
  Conference Publication
• Place as Subject:
  West Virginia ; New York ; Philadelphia Region [OSHA] ; New York City Region [OSHA]
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DSR - Division of Safety Research
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  11 pdf pages
• NIOSHTIC Number:
  nn:20071299
• Email:
  MCheng@cdc.gov
• Federal Fiscal Year:
  2025
• Peer Reviewed:
  False
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:d8213b156a60b53502d309d4c2ad9a92f8cdd5b59e4c1013f1810aed85e81374f783fde8cbd9e94240114e83595e3b5c1a2d277b62017bd75b7f35db8f986e00
• Download URL:
  https://stacks.cdc.gov/view/cdc/258775/cdc_258775_DS1.pdf
• File Type:
  [PDF - 1.79 MB ]