Use of Unmanned Aircraft Systems for Bridge Inspection: A Review
Uso de sistemas de aeronaves no tripuladas para la inspección de puentes: una revisión
DOI:
https://doi.org/10.15446/dyna.v88n217.91879Palabras clave:
Bridges; unmanned aircraft system; 3D reconstruction, infrared thermography, structural health monitoring (en)Descargas
This review describes the use of Unmanned Aircraft Systems (UAS) for bridge inspection, with an emphasis on Multi-rotor UAS. It depicts the different levels of automation and autonomy during UAS operation and what levels are achieved during inspections. A description of the payload of UAS consisting of the equipment required to acquire data and images is included. It also contains a compendium of the techniques used to create models from images in order to detect failures and perform Structural Health Monitoring (SHM) through techniques, such as: 3D reconstruction, infrared thermography, Structure From Motion (SFM), Convolutional Neural Network (CNN) and others. The software required to apply the mentioned techniques is also mentioned. It subsequently explains the generation of mathematical models to characterize the multirotor and generate efficient trajectories. Finally, the review concludes by describing the operational limitations of UAS and future challenges.
Esta revisión describe el uso de los Unmanned Aircraft Systems (UAS) para la inspección de puentes, haciendo énfasis en los UAS Multirrotor. Relaciona los diferentes niveles de automatización y autonomía durante la operación de los UAS y cuáles de esos niveles se logran durante la inspección. Hay una descripción de la carga paga del UAS compuesta por los equipos requeridos para adquirir datos e imágenes. Se incluye un compendio de las técnicas que se usan para la creación de modelos a partir de imágenes, con el propósito de detectar fallas y realizar Structural Health Monitoring (SHM) mediante técnicas como: reconstrucción 3D, termografía infrarroja, Structure From Motion (SFM), Convolutional Neural Network (CNN) entre otras, así como el software requerido para aplicarlas. Posteriormente explica la generación de modelos matemáticos para caracterizar los multirrotores y generar trayectorias eficientes. Finaliza describiendo las limitaciones operacionales de los UAS y los retos futuros.
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