UAV-Supported Structural Inspection

Overview

In recent years, unmanned aerial vehicles (UAVs) have been used as another efficient means of data collection in various applications such as surveillance, reconnaissance, inspection of critical facilities, intelligent agriculture, mapping, and rescuing. This research aims to develop a novel UAV-based approach for autonomous structural damage inspection, which incorporates a programmable UAV with various types of sensors, novel flight path planning algorithms, and task-specific algorithms such as structural damage detection and post-disaster survivor detection.

UAV Inspection Flowchart

References

[1]. Tavasoli, S., Poorghasem, S., Pan, X., Yang, T. Y., & Bao, Y. (2024). Autonomous post‐disaster indoor navigation and survivor detection using low‐cost micro aerial vehicles. Computer‐Aided Civil and Infrastructure Engineering.

[2]. Tavasoli, S., Pan, X., & Yang, T. Y. (2023). Real-time autonomous indoor navigation and vision-based damage assessment of reinforced concrete structures using low-cost nano aerial vehicles. Journal of Building Engineering, 68, 106193.

[3]. Pan, X., Tavasoli, S., & Yang, T. Y. (2023). Autonomous 3D vision‐based bolt loosening assessment using micro aerial vehicles. Computer‐Aided Civil and Infrastructure Engineering, 1–12.

[4]. Tavasoli, S., Pan, X., Yang T. Y., Gazi, S. (2023). Autonomous damage assessment of structural columns using low-cost micro aerial vehicles and multi-view computer vision. Canadian Conference - Pacific Conference on Earthquake Engineering (CCEE-PCEE) 2023, Vancouver, British Columbia, Canada.