Use of UAS for damage inspection and assessment of bridge infrastructures

Mandirola, M.; Casarotti, Chiara; Peloso, Simone; Lanese, Igor; Brunesi, Emanuele; Senaldi, Ilaria

doi:10.1016/j.ijdrr.2022.102824

Cited by 59 publications

(29 citation statements)

References 40 publications

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“…They proved the effectiveness and feasibility of the proposed method based on two different types of bridges located on the ground and offshore. Another recent research discussing the development of a damage inspection and assessment of bridge infrastructure using drones was conducted by Mandirola et al 47 A four‐step workflow for the bridge inspection methodology including team activations, mission planning, mission execution, and product delivery was proposed in their work. In addition, they pointed out that several technical challenges, such as some site‐specific environmental conditions that could affect flight safety and stability, as well as the quality and locations of the collected images by drones, the capacity of autonomous obstacle avoidance of drones, battery and payload limitations of drones, and so on, were still open for further research for deploying the drones for the UAV‐based platform.…”

Section: Literature Reviewmentioning

confidence: 99%

A review study on unmanned aerial vehicle and mobile robot technologies on damage inspection of reinforced concrete structures

Wang

Ueda

2023

Structural Concrete

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For damaged buildings that had suffered from a destructive earthquake, timely damage inspection is essential to evaluate their residual seismic safety as well as to assess the long-term maintenance capacity for planning a suitable structural rehabilitation strategy for further service. However, the conventional inspection method by human hands is time-consuming, highly costly, and risky for inspectors in the fieldwork. Thus, in this present study, the current situation for structural damage inspection is summarized, the future potentials of newly developed technology in this field are explored, and the application and usage of robotic technologies with unmanned aerial vehicles (UAVs) and mobile robots that are rapidly developed recently have been reviewed and evaluated. In this work an overview is given of the practical applications of the UAV-and mobile robot-based damage inspection, in which these robotic machines are employed as useful tools to inspect and monitor the damaged condition of infrastructure facilities or buildings by collecting photography data. In addition, a conceptual comparison with the conventional approach is given to allow a better understanding of the advantages and limitations of a robotic technology-aimed damage inspection approach. Also, a discussion on instructions, recommendations, existing challenges, and future directions to address the robotic technology-aimed damage inspection approach into further practice is presented.

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Section: Literature Reviewmentioning

confidence: 99%

A review study on unmanned aerial vehicle and mobile robot technologies on damage inspection of reinforced concrete structures

Wang

Ueda

2023

Structural Concrete

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“…There are also investigations of road safety infrastructure (Zhang, 2008;Caroti, Martínez-Espejo et al 2015;Sarsam et al 2015;Inzerillo et al 2018) and road engineering structures (Mandirola et al, 2022) using 3D reconstructions according to traditional or modern routes using 3D modelling and drones. Analyses of traffic flows are already more or less well analysed through drones (Salvo et al 2014;Garcia-Aunon et al 2019).…”

Section: Use Of Modern Measurement Techniquesmentioning

confidence: 99%

Modern technologies and methods of data collection in the function of making better traffic analysis of forensic traffic experts

2022

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Even though the European roads are among the safest in the world, the number of road accidents is still a cause for concern. To reduce their number and consequences, many studies are being conducted, including knowledge of the factors that influence the occurrence of accidents. Forensic traffic experts are also part of the treatment of traffic accidents, and they often must base their conclusions on proven incomplete studies of data collected by police officers. In some cases, traffic accident data are still collected in classical ways and with classical measuring equipment. This is often a source of error. This paper defines these errors and offers solutions that are shown primarily through data capture using 3D scanners and photogrammetry. In this way, we can perfectly recreate the situation in the event of a traffic accident through 3D models, thus eliminating many shortcomings of police drawings and records. The article also proposes a central database of traffic accidents as an additional solution to gain a deeper insight into the causes and consequences of traffic accidents.

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“…The mobility and agility of UAVs further empower them to swiftly inspect vast infrastructures or multiple structures within a limited timeframe. Recent research has showcased a variety of unique frameworks from full field mapping of entire bridges using image processing systems for crack detection [7] to structural assessments of large wind turbines using target free Discriminative Scale Space Tracker (DSST) vision algorithms [8]. These applications of UAV-borne sensors highlight the potential for cost-effective and efficient structural monitoring of expansive civil infrastructures.…”

Section: Introductionmentioning

confidence: 99%

Application of Time Synchronous Averaging in Mitigating UAV Noise and Signal Loss for Continuous Scanning Laser Doppler Vibrometry

Mohammadi,

Oberst,

Halkon

2024

J. Phys.: Conf. Ser.

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The laser Doppler vibrometer (LDV) has been shown to be effective for a wide application of vibration assessments that are well accepted. One of the new avenues for exploring alternative measurement scenarios, mounting LDVs on unmanned aerial vehicles (UAVs) is emerging as a potential avenue for remote and harsh environment measurements. Such configurations grapple with the challenge of the LDV sensor head being sensitive to UAV vibration during flight and signal loss due to tracking error. This study investigates the effectiveness of several Time Synchronous Averaging (TSA) techniques to circumvent these obstacles. Through comprehensive evaluations, all three TSA techniques under investigation demonstrated significant potential in suppressing UAV-induced noise and minimising the effects of signal dropout. Traditional TSA showcased a remarkable sixfold enhancement in signal quality when analysed via the mean square error. However, the study also highlighted that while TSA and Multi-Cycle Time Synchronous Average (MCTSA) elevated signal clarity, there is a trade-off between noise suppression and signal duration. Additionally, the findings emphasise the importance of synchronisation between scanning and target vibration. To achieve optimal results in Continuous Scanning Laser Doppler Vibrometer measurements, there is a need for advanced algorithms capable of estimating target vibration and synchronising scanning in real-time. As the study was rooted in steady-state vibrations, future research should explore transient vibration scenarios, thereby broadening the application scope of TSA techniques in UAV-mounted LDV systems.

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Use of UAS for damage inspection and assessment of bridge infrastructures

Cited by 59 publications

References 40 publications

A review study on unmanned aerial vehicle and mobile robot technologies on damage inspection of reinforced concrete structures

A review study on unmanned aerial vehicle and mobile robot technologies on damage inspection of reinforced concrete structures

Modern technologies and methods of data collection in the function of making better traffic analysis of forensic traffic experts

Application of Time Synchronous Averaging in Mitigating UAV Noise and Signal Loss for Continuous Scanning Laser Doppler Vibrometry

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