AI-Driven Drone Technology for Bridge Displacement and Vibration Monitoring

This research proposes developing an autonomous drone system equipped with advanced artificial intelligence (AI) algorithms and dual-camera configurations for precise structural health monitoring. The system utilizes a dual-camera setup (telephoto and wide-angle) to enhance measurement precision, while stabilization techniques and calibration methods minimize errors caused by atmospheric interference and lighting variations. Designed to autonomously detect and analyze bridge vibrations and displacements in real time, the system addresses the limitations of traditional methods such as global positioning system (GPS), sensors, and vision-based approaches, which often struggle with large-scale structures, environmental interference, and stability challenges. Real-world testing on bridges and tall buildings will validate the system's effectiveness, ensuring its reliability for large-scale infrastructure monitoring. The deliverables include the drone-AI system, best practices for deployment, and data analysis protocols, providing a scalable solution for infrastructure monitoring.

• Record URL:
  • https://abc-utc.fiu.edu/ai-driven-drone-technology-for-bridge-displacement-and-vibration-monitoring/

Language

• English

Project

• Status: Active
• Funding: $65,000.00
• Contract Numbers:

  69A3552348322

• Sponsor Organizations:

  Innovative Bridge Technologies/Accelerated Bridge Construction University Transportation Center (IBT/ABC-UTC)

  Florida International University
  Miami, FL  United States 

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Performing Organizations:

  University of Nevada, Reno

  Nevada Center of Applied Research
  Reno, NV  United States 
• Principal Investigators:

  La, Jim

• Start Date: 20250101
• Expected Completion Date: 0
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Artificial intelligence; Bridges; Drones; Structural health monitoring; Vibration
• Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation;

Filing Info

• Accession Number: 01973294
• Record Type: Research project
• Source Agency: Innovative Bridge Technologies/Accelerated Bridge Construction University Transportation Center (IBT/ABC-UTC)
• Contract Numbers: 69A3552348322
• Files: UTC, RIP
• Created Date: Dec 2 2025 4:06PM