G. Andreoli
Papers
1
Total Citations
2
H-Index
1
About
Dr. G. Andreoli is a researcher at the forefront of applying deep learning and unmanned aerial vehicle (UAV) technology to urban infrastructure management. Their primary research areas include computer vision, object detection, and automated urban asset localization. Dr. Andreoli’s most notable contribution is the development of a novel deep learning framework that leverages the YOLOv8 architecture to automate the detection and localization of Removable Urban Pavements (RUPs) from UAV imagery. This work addresses the critical need for efficient maintenance of urban elements designed for quick on-site access to underground utilities. By enabling rapid, automated inspection, their research significantly reduces the time and labor traditionally required for urban pavement management. While their work is recent, with their 2024 publication already garnering 2 citations, the innovative integration of state-of-the-art object detection with practical urban engineering challenges marks Dr. Andreoli as an emerging leader in smart city solutions and infrastructure automation.
Research Focus
Key Achievements
Top Papers
- 1