ICAERUS HE Project
Published October 30, 2025 | Version v1
Dataset Restricted

U-AInSPECT Project: Bridge Use Case dataset

Authors/Creators

  • 1. ROR icon European Centre for Training and Research in Earthquake Engineering

Contributors

  • 1. ROR icon European Centre for Training and Research in Earthquake Engineering
  • 2. EUCENTRE

Description

Comprehensive UAS-based bridge inspection dataset, with AI-processed damage detection results and 3D reconstruction outputs from rural infrastructure monitoring

Technical info

The U-AInSPECT project focuses on developing a UAS- and AI-based service for the inspection of bridge infrastructures in rural areas, aiming to enhance the efficiency and accuracy of structural damage assessment during both routine inspections and post-disaster emergency evaluations. Within this framework, a demonstration activity was conducted on a selected bridge use case located in a rural area of Northern Italy.

The resulting dataset comprises not only the original imagery data, which include videos and photographs collected during the UAS-based inspection, but also the derived outputs generated through the operational service workflow, which encompasses AI-driven structural damage detection, photogrammetric 3D reconstruction of the bridge, and the assessment of its attention class in accordance with the Italian Technical Guidelines for Bridge Risk and Safety Assessment.

The directory organization of the dataset is described in detail in the file “readme.pdf”.

Notes

This bridge Use Case was created only for research purposes, and results are not intended as a real-life usability assessment. For confidentiality and security reasons, the bridge location is not disclosed, and all geospatial coordinates within the dataset have been altered and/or removed, while preserving the dataset’s scientific integrity and technical relevance for research and demonstration activities.

Other

POSSIBLE APPLICATION:  The U-AInSPECT dataset supports the development and validation of UAS-based visual inspection and structural monitoring workflows. It can be used to test AI-assisted defect detection algorithms, photogrammetric 3D reconstruction, autonomous flight planning, and the benchmarking of post-disaster or routine monitoring inspection methodologies.

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Additional details

Additional titles

Subtitle
EUCENTRE Foundation

Funding

European Commission
ICAERUS - Innovations and Capacity building in Agricultural Environmental and Rural Uav Services 101060643

Dates

Created
2025-10

References

  • Senaldi, I., Casarotti, C., Mandirola, M., & Cantoni, A. (2025). IDEA: Image database for earthquake damage annotation. Data in Brief, 111733. https://doi.org/10.1016/j.dib.2025.111733.
  • Dondi, P., Gullotti, A., Inchingolo, M., Senaldi, I., Casarotti, C., Lombardi, L., & Piastra, M. (2025). Post-earthquake structural damage detection with tunable semi-synthetic image generation. Engineering Applications of Artificial Intelligence, 147, 110302.