A Cooperative Multi-Uav Framework for Bridge Inspection

Bridges are vital infrastructure assets whose maintenance is essential to ensure safety and efficient traffic flow. However, due to their nature, they are often located in hard-toreach places, which makes their regular inspection challenging and risky for human operators. This paper presents a comprehensive multi-UAV (Unmanned Aerial Vehicle) framework for fast and efficient cooperative bridge inspection, leveraging commercial UAVs with open-source tools and integrating both a custom Ground Control Station and advanced multi-UAV motion planning based on Signal Temporal Logic. The proposed approach enables autonomous and safe data collection while minimizing operational constraints and human intervention, making it a valuable contribution to UAV-based infrastructure monitoring. The presented framework has been validated in a real-world environment, showcasing its effectiveness in coordinating UAV teams for autonomous structural inspections.

Authors

Institutions

Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/icuas65942.2025.11007792
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Cooperative Multi-Uav Framework for Bridge Inspection

Alvaro Caballero, Anı́bal Ollero, Miguel Gil-Castilla, Alvaro Ramiro Poma
Industrial Vision Systems and Defect Detection
article

A Cooperative Multi-Uav Framework for Bridge Inspection

Alvaro Caballero, Anı́bal Ollero, Miguel Gil-Castilla, Alvaro Ramiro Poma
article en

Abstract

Bridges are vital infrastructure assets whose maintenance is essential to ensure safety and efficient traffic flow. However, due to their nature, they are often located in hard-toreach places, which makes their regular inspection challenging and risky for human operators. This paper presents a comprehensive multi-UAV (Unmanned Aerial Vehicle) framework for fast and efficient cooperative bridge inspection, leveraging commercial UAVs with open-source tools and integrating both a custom Ground Control Station and advanced multi-UAV motion planning based on Signal Temporal Logic. The proposed approach enables autonomous and safe data collection while minimizing operational constraints and human intervention, making it a valuable contribution to UAV-based infrastructure monitoring. The presented framework has been validated in a real-world environment, showcasing its effectiveness in coordinating UAV teams for autonomous structural inspections.

Universidad de Sevilla (ES)
Openalex Percentile: Top 84%
Industrial Vision Systems and Defect Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.