Automatic Detection of Surface Damage in Round Brick Chimneys by Finite Plane Modelling from Terrestrial Laser Scanning Point Clouds. Case Study of Bragança Dukes’ Palace, Guimarães, Portugal

Balado, Jesús; Díaz-Vilariño, L.; Azenha, Miguel

doi:10.1080/15583058.2021.1925779

Cited by 10 publications

(2 citation statements)

References 50 publications

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“…TLS allows to obtain a 3D point cloud of objects located around the scanner [79], since it is based on sending an infrared laser beam towards the center of a rotating mirror. The mirror deflects the laser in vertical rotation around the environment being scanned and light scattered from objects in the environment is reflected to the scanner [81].…”

Section: Photogrammetry and Laser Scanningmentioning

confidence: 99%

Non-destructive techniques (NDT) for the diagnosis of heritage buildings: Traditional procedures and futures perspectives

Tejedor

Lucchi

Bienvenido-Huertas

et al. 2022

Energy and Buildings

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Section: Photogrammetry and Laser Scanningmentioning

confidence: 99%

Non-destructive techniques (NDT) for the diagnosis of heritage buildings: Traditional procedures and futures perspectives

Tejedor

Lucchi

Bienvenido-Huertas

et al. 2022

Energy and Buildings

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“…Usually, the digitization is performed only when the damage has already been done, and it is no longer possible to digitize the heritage in good condition or to compare it over time. Through the acquisition and study of the point cloud, damage in heritage can be quickly identified [15]. The aim of this work is the calculation of the volume of stone lost in the Fillaboa bridge during the floods of the recent years.…”

Section: Introductionmentioning

confidence: 99%

Point Cloud Approach For Modelling The Lost Volume of The Fillaboa Bridge Cutwater

Balado

Sánchez‐Rodríguez

2021

JASTT

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The digitisation of heritage is being rapidly realised in many parts of the world thanks to LiDAR technology. In addition to the simple digital preservation of heritage, 3D acquisition makes it possible to monitor the structural condition and assess possible damage. This paper presents a method for modelling the lost volume of a heritage bridge. The selected case study is the Fillaboa bridge, in Salvaterra de Miño, Spain, which has two cutwaters with the same cutting angle, one of which is damaged and has a stone loss. The bridge was acquired with a Terrestrial Laser Scanner. The method consists of the following processes. First, the walls of the whole cutwater are segmented and aligned by Iterative Closest Point algorithm over the damaged cutwater. Second, the distance between the two point clouds is calculated and the damaged area is delimited in both point clouds. And third, the alpha shape algorithm is applied to model the point cloud of the damaged area to a polygon. By searching for the optimal alpha radius, the polygon that best fits the damaged volume is generated. The proposed method also allows digital reconstruction of the damaged area, although it is sensitive to acquisition problems, which require manual interventions in the processing. The accuracy of the method is mainly dependent on the acquired point cloud registration (with an RMS error of 60mm) and the ICP registration error (31mm). Its use is limited to the existence of two geometries that allow superposition: one in good condition and one damaged to compare.

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Application of Object Detection Algorithm for Efficient Damages Identification of the Conservation of Heritage Buildings

Tang,

Feng,

Wang

et al. 2024

Archaeological Prospection

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Heritage buildings are crucial for any area's cultural and political aspects. Proper maintenance and monitoring are essential for the conservation of these buildings. However, manual inspections are time‐consuming and expensive. We propose a deep learning–based detection framework to identify the damages on the ancient architectural wall. The algorithm applied in this study is YOLOv5. Comparing its five different versions, it was decided to use YOLOv5m as the most accurate detection algorithm with a mAP of 0.801. The damage types identified are physical weathering and visitors' scratches. High‐resolution images were selected for the experiment and effectively identified image. In addition, the applied algorithm allows real‐time detection and the identification of seasonal sources of disruption, which is proved by the video test in this study. The findings contribute to the development of an intelligent tool for health monitoring with the goal of fast and remote damage detection in the routine maintenance of heritage buildings.

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Automatic Detection of Surface Damage in Round Brick Chimneys by Finite Plane Modelling from Terrestrial Laser Scanning Point Clouds. Case Study of Bragança Dukes’ Palace, Guimarães, Portugal

Cited by 10 publications

References 50 publications

Non-destructive techniques (NDT) for the diagnosis of heritage buildings: Traditional procedures and futures perspectives

Non-destructive techniques (NDT) for the diagnosis of heritage buildings: Traditional procedures and futures perspectives

Point Cloud Approach For Modelling The Lost Volume of The Fillaboa Bridge Cutwater

Application of Object Detection Algorithm for Efficient Damages Identification of the Conservation of Heritage Buildings

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