Use of Unmanned Aerial Vehicle for Quantitative Infrastructure Evaluation

Ellenberg, Andrew; Branco, Luiz Henrique Castelo; Krick, A. K.; Bartoli, Ivan; Kontsos, Antonios

doi:10.1061/(asce)is.1943-555x.0000246

Cited by 100 publications

(66 citation statements)

References 19 publications

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“…This approach is mainly performing the similar operation as that of a sight inspector and that is the reason it has also been used to assist him in SHM. The images for the vision based approach can either be achieved by a fixed camera as in [11] or by means of a flying UAV as adopted in [12]. In our research the images has been obtained using a commercially available UAV (Phantom Professional-3), as shown in Fig.…”

Section: Uav Specificationmentioning

confidence: 99%

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Coordinated robotic system for civil structural health monitoring

Qidwai

Akbar

2017

MATEC Web Conf.

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Abstract.With the recent advances in sensors, robotics, unmanned aerial vehicles, communication, and information technologies, it is now feasible to move towards the vision of ubiquitous cities, where virtually everything throughout the city is linked to an information system through technologies such as wireless networking and radio-frequency identification (RFID) tags, to provide systematic and more efficient management of urban systems, including civil and mechanical infrastructure monitoring, to achieve the goal of resilient and sustainable societies. In this proposed system, unmanned aerial vehicle (UAVs) is used to ascertain the coarse defect signature using panoramic imaging. This involves image stitching and registration so that a complete view of the surface is seen with reference to a common reference or origin point. Thereafter, crack verification and localization has been done using the magnetic flux leakage (MFL) approach which has been performed with the help of a coordinated robotic system. In which the first robot is placed at the top of the structure whereas the second robot is equipped with the designed MFL sensory system. With the initial findings, the proposed system identifies and localize the crack in the given structure.

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Section: Uav Specificationmentioning

confidence: 99%

“…The similar approach using marker instead of vertical lines has been used for crack identification using unmanned aerial vehicle (UAV) by Ellenberg et al in [12]. The need of markers can be overcame by using invariant features based image stitching approach.…”

Section: Introductionmentioning

confidence: 99%

Coordinated robotic system for civil structural health monitoring

Qidwai

Akbar

2017

MATEC Web Conf.

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“…The model represents the vertical displacement response of a platform tip for a vertical force for the first three natural frequencies. It can be expressed as a parallel of three mono-modal transfer functions in the Laplace domain ( ) in (2).…”

Section: Numerical Study: Analyzing the Effects Of Motion Blur On Frfmentioning

confidence: 99%

Uncertainty in vision based modal analysis: probabilistic studies and experimental validation

Lavatelli

Zappa

2016

ACTA IMEKO

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This paper analyses the issues related with the application of photogrammetric methods in the context of modal analysis. In this field of mechanical testing, the vibrations of the measurand are monitored. The possibility to measure displacement of several monitored points without directly instrumenting those, pushes the interest toward the application of an image based measurement system. However, the process of acquiring a moving target with a camera is complex due to the motion blur phenomenon. The effects of this particular phenomenon on uncertainty generation and propagation are discussed in parallel with Monte Carlo simulation and experimental approach. The case study here proposed focuses on the estimation of the main modal parameters (first two resonant frequencies and amplitudes) of a structure with the help of 2D Blob Analysis, with particular focus in comparing the performances of photogrammetry with the ones of classic motion transducers. The results of both the approaches confirm that the choice of using photogrammetry as an input for modal analysis should be made carefully, since the actual behavior of a structure can be distorted. Nonetheless, the results show that particular care should be made in the choice of structural excitation when using vision based techniques.

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“…Recent advancements in lower-cost optical cameras, image processing, and three-dimensional (3D) modeling have enabled photogrammetry to three-dimensionally reconstruct objects from digital images, for civil or transportation structure applications [16,[32][33][34][35][36]. Photogrammetry provides the ability to obtain quantitative measurements from 3D models created from quality easily documented two-dimensional (2D) images, and has been used for assessing the condition of transportation assets [21,37].…”

Section: Introductionmentioning

confidence: 99%

“…Very few efforts have been conducted to investigate the application of photogrammetry for retaining wall infrastructure systems providing a more budget-friendly evaluation for geotechnical assets. Integrating non-contact photogrammetry techniques is advantageous with widely available quality digital single lens reflex (DSLR) cameras and advancing computer processing capabilities with open source software options [16,[34][35][36][37][38][39]. Applying this to the vast geotechnical infrastructure to not only provide automatic easy data-logged qualitative documentation of condition, but also quantitative changes, can further advance retaining wall asset management [10,13,14,16].…”

Section: Introductionmentioning

confidence: 99%

A Novel Application of Photogrammetry for Retaining Wall Assessment

2017

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Abstract:Retaining walls are critical geotechnical assets and their performance needs to be monitored in accordance to transportation asset management principles. Current practices for retaining wall monitoring consist mostly of qualitative approaches that provide limited engineering information or the methods include traditional geodetic surveying, which may provide high accuracy and reliability, but is costly and time-consuming. This study focuses on evaluating failure modes of a 2.43 m × 2.43 m retaining wall model using three-dimensional (3D) photogrammetry as a cost-effective quantitative alternative for retaining wall monitoring. As a remote sensing technique, photogrammetry integrates images collected from a camera and creates a 3D model from the measured data points commonly referred to as a point cloud. The results from this photogrammetric approach were compared to ground control points surveyed with a total station. The analysis indicates that the accuracy of the displacement measurements between the traditional total station survey and photogrammetry were within 1-3 cm. The results are encouraging for the adoption of photogrammetry as a cost-effective monitoring tool for the observation of spatial changes and failure modes for retaining wall condition assessment.

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Use of Unmanned Aerial Vehicle for Quantitative Infrastructure Evaluation

Cited by 100 publications

References 19 publications

Coordinated robotic system for civil structural health monitoring

Coordinated robotic system for civil structural health monitoring

Uncertainty in vision based modal analysis: probabilistic studies and experimental validation

A Novel Application of Photogrammetry for Retaining Wall Assessment

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