Use of Unmanned Aerial Vehicle Photogrammetry to Obtain Topographical Information to Improve Bridge Risk Assessment

Hackl, Jürgen; Adey, Bryan T.; Woźniak, Michał; Schümperlin, Oliver

doi:10.1061/(asce)is.1943-555x.0000393

Cited by 38 publications

(17 citation statements)

References 38 publications

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“…Using drones we can take high resolution photos along the dams even at a hidden places and experts can evaluate many things like dam cracks, hair lines, corrosion of steel parts, deformations, etc. as an example shows at Figure 7 [17].…”

Section: Pre-flood Managementmentioning

confidence: 94%

Water Related Disaster Management Supported by Drone Applications

Restás¹

2018

WJET

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Introduction: Climate change causes more articulated weather conditions: at some places experts count with more droughts while at other places with more floods. Even if features of droughts and floods are total different from each other both of them belongs to water related disaster: in case of drought amount of water is below required while in case of flood amount of water is too much. Drought and flood mean end positions of the water amount scale. Other part drones are around us: more and more applications can be seen almost all part of our life. Therefore it is very important to gather examples and finding possibilities to support water related disasters. Method: This article focuses mainly on author's own practices and experiences using drone however practices and experiences made by others were also adapted to the results of the study as well as the examples wrote in the relevant literatures. Results: On the time scale there are three different options for using drone to support water related disaster management. Before floods drone can take river bed surveys as a kind of preventive application. During flood drone can support decision makers with the "eagle eye" view of the flooded area providing objective and relevant information. After disaster experts can use drones for mapping or remapping the affected area for making quick assessment about damages caused by the flood. In case of forest fire we can also use the above approach however in this article the flood examples of drone applications are dominated.

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Section: Pre-flood Managementmentioning

confidence: 94%

Water Related Disaster Management Supported by Drone Applications

Restás¹

2018

WJET

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“…Inspection. A review of studies allocated to the inspection node revealed that remote sensing has been used for various inspection purposes, including: quality control (Landes et al, 2012;Liu, Jennesse and Holley, 2016); site safety (Gheisari and Esmaeili, 2016); ensuring the reliability and life expectancy of these civil systems (Rathinam et al, 2008;Hackl et al, 2018) and work progress monitoring (Hamledari, McCabe, Davari, Shahi, Rezazadeh Azar and Flager, 2017).…”

Section: Clusters Of Research On Rpasmentioning

confidence: 99%

“…Cluster 2 of the network centers on RPA use in photogrammetry and surveying. Photogrammetry is the process of reconstructing the position, orientation, shape and size of objects from pictures, which may originate from conventional photography or digital photography (Kraus, 2007;Hackl et al, 2018). As defined by Baltsavias (1999), photogrammetry encapsulates: the processing of images; the development of 2D and 3D model reconstruction; the classification of objects for mapping or thematic applications; and the visualization of maps.…”

Section: Clusters Of Research On Rpasmentioning

confidence: 99%

Scientometric analysis of research on “remotely piloted aircraft”

Golizadeh

Hosseini

Martek

et al. 2019

ECAM

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Purpose Remotely piloted aircraft (RPA) systems have emerged as an established tool within the construction industry. Concurrent with this trend has been the rise in research on RPA, establishing this as a new field of study within the construction management domain. What is needed now is an assessment of the current state of research in this emerging discipline – its strengths and weaknesses – by which future research on RPA in construction may be guided. The purpose of this paper is to address this need. Design/methodology/approach A total of 59 peer-reviewed journal articles covering RPAs within the construction domain were systematically reviewed using a mixed-methods approach, utilizing qualitative-scientometric analyses techniques. Findings The results reveal a field of study in its fledgling stage, with a limited number of experts operating somewhat in isolation, from a limited number of institutions. Key publication outlets are identified, with the main focus of research being in the technical areas of remote sensing, photogrammetry and image processing. Practical implications The study benefits researchers and industry practitioners alike. For researchers, the identified gaps reveal areas of high priority in future research. For construction companies, particularly small to medium-sized businesses, the study raises awareness of the latest developments and potential applicability of RPAs in the industry. Originality/value The study exposes what is missing from current research: a broader consideration of organizational adjustments needed to accommodate RPA usage, economic analyses and impediments to wider acceptance.

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“…The feature trajectories, which implied the route that the objects follow, were used to designate the 3D location of the object and the camera motion (Javernick, Brasington, & Caruso, 2014). High measurement accuracies were acquired for the regions with different geomorphic properties that implemented the SfM technique along with UAV derived imageries (Castillo, Pérez, James, Quinton, Taguas, & Gómez, 2012;Hackl, Adey, Woźniak, & Schümperlin, 2017;James & Robson, 2012;Javernick, Brasington, & Caruso, 2014). At this moment, the digital surface model (DSM) of the river basin, which included the bridge and consequent scour depths along bridge piers, was determined by UAV and were compared to manual measurements taken at piers.…”

Section: Proposed Scour Monitoring Techniquementioning

confidence: 99%

“…As shown in previous studies, sonar (Fisher, Chowdhury, Khan, & Atamturktur, 2013;Topczewski, Cieśla, Mikołajewski, Adamski, & Markowski, 2016;Zheng, Xu, Cheng, Wang, & Lu, 2018), ground-penetrating radar (Burrell, Gurrola, & Mickus, 2008), radio frequency identification (Chapuis, Dufour, Provansal, Couvert, & De Linares, 2015), and accelerometer (Bao, Swartz, Vitton, Sun, Zhang, & Liu, 2017;Prendergast, Hester, Gavin, & O'sullivan, 2013) based measurement systems were frequently implemented for field scour measurements. Despite the primitive Unmanned Aerial Vehicle (UAV)-based research technologies, which embodied river bathymetry modelling (Flener, 2013), risk assessment and flood analysis (Hackl, Adey, Woźniak, & Schümperlin, 2017;Jaud, Grasso, Le Dantec, Verney, Delacourt, Ammann, ... & Grandjean, 2016;Tamminga, Eaton, & Hugenholtz, 2015), other traditional methods were often used for scour measurements. Besides, as mentioned in previous researches, similar correlation was obtained between the bathymetric data acquired from high-resolution images in shallow water and the real values that were obtained from field surveys.…”

Section: Introductionmentioning

confidence: 99%

Multi-Hazard Assessment of RC Bridges using Unmanned Aerial Vehicle-Based Measurements

Özcan

2018

BJRBE

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The structural performance of reinforced concrete bridges is crucial regarding the bridge safety. Monitoring the bridge performance under multihazard effects such as scour, and earthquake becomes even more important. Thus, the scour depth along the piers and piles of bridge substructures has to be measured and tracked consistently in order for reliable multi-hazard bridge behaviour predictions. A practical Unmanned Aerial Vehicle based scour measurement method was proposed to increase the measurement accuracy and reduce the implementation costs. This method has been used in shallow and clear-water riverbeds. The Boğaçayı Bridge was selected as the case study located at the Boğaçayı River in Antalya, Turkey, since it was exposed to stream and flood, induced scour in the previous years. In the study region, the amount of scour was determined with considerable accuracy, and the scour measurements were used for generating the Three-Dimensional Finite Element model of the bridge. The multi-hazard performance of the bridge was acquired by implementing nonlinear static analysis using pushover curves corresponding to various scour depths concentrated at some of the bridge piers. Therefore, a continuously updateable multi-hazard bridge assessment system was proposed, which was implemented in bridges under scour and earthquake effects, regarding Unmanned Aerial Vehicle based measurements.

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Use of Unmanned Aerial Vehicle Photogrammetry to Obtain Topographical Information to Improve Bridge Risk Assessment

Cited by 38 publications

References 38 publications

Water Related Disaster Management Supported by Drone Applications

Water Related Disaster Management Supported by Drone Applications

Scientometric analysis of research on “remotely piloted aircraft”

Multi-Hazard Assessment of RC Bridges using Unmanned Aerial Vehicle-Based Measurements

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