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Methodologies for Remote Bridge Inspection-Review.

Diogo Ribeiro^1,2, Anna M Rakoczy³, Rafael Cabral²

¹iBuilt, School of Engineering, Polytechnic of Porto, 4249-015 Porto, Portugal.

Sensors (Basel, Switzerland)

|September 27, 2025

Summary

This summary is machine-generated.

This study reviews advanced remote bridge inspection methods for Bridge Management Systems (BMS). These techniques, including AI and computer vision, enable safer, automated infrastructure assessment and maintenance.

Keywords:

Augmented Reality Big Data Digital Twins computer vision methodologies remote bridge inspection

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Area of Science:

Civil Engineering
Computer Vision
Artificial Intelligence

Background:

Traditional bridge inspection methods are labor-intensive and may not capture all critical data.
The need for advanced, automated, and intelligent solutions for bridge management is growing.
IABSE Task Group 5.9 focuses on remote inspection techniques for bridges.

Purpose of the Study:

To present the state-of-the-art methodologies for remote bridge inspection.
To explore the potential integration of these methods into Bridge Management Systems (BMS).
To highlight advancements in computer vision, AI, and data handling for bridge assessment.

Main Methods:

3D geometric reconstruction using photogrammetry, LiDAR, and hybrid fusion.
Damage and component identification via heuristics and Artificial Intelligence (AI).
Non-contact measurement of displacements, strains, and modal parameters.

Main Results:

Computer vision and AI enable detailed damage and component identification.
Non-contact methods provide precise structural parameter measurements.
Big Data techniques and Digital Twins are crucial for managing inspection data and asset maintenance.

Conclusions:

These advanced methodologies enhance the safety, automation, and intelligence of bridge assessment.
The integration of these technologies can improve the resilience and lifespan of transportation infrastructure.
Augmented Reality (AR) offers immersive environments for effective bridge inspection.