Development of a Bridge Inspection Support System Using Two-Wheeled Multicopter and 3D Modeling Technology

Hada, Yoshiro; Nakao, Manabu; Yamada, Moyuru; Kobayashi, Hiroki; Sawasaki, Naoyuki; Yokoji, Katsunori; Kanai, Satoshi; Tanaka, Fumiki; Date, Hiroaki; Pathak, Sarthak; Yamashita, Atsushi; Yamada, Masashi; Sugawara, T.

doi:10.20965/jdr.2017.p0593

Cited by 31 publications

(4 citation statements)

References 7 publications

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“…360°cameras are readily accessible, but their use for bridge management is relatively unexplored, with only a few studies reported (e.g. Nishimura et al 2012, Hada et al 2017, Humpe 2020.…”

Section: °Camerasmentioning

confidence: 99%

A survey of emerging technologies for the future of routine visual inspection of bridge structures

Nepomuceno¹,

Vardanega²,

Tryfonas³

et al. 2022

Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability

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Bridges are important infrastructure assets that are vital for the connectivity of communities. Visual inspections remain a key method for bridge condition monitoring. However, visual inspections are often considered to be highly subjective and therefore alternative technologies are often proposed as a means of replacing or enhancing current visual inspection practices. This paper presents the results of a survey which aims to document the emerging trends for future visual inspection practice related to bridges. The implementation of new technological solutions has the potential to improve the quality of inspection data, reduce the safety risks posed to visual inspectors by moving more of the process off-site and improve the quantification of the rate of change in condition. The survey covers two key topics: (i) Emerging data capture methods and (ii) Emerging data analysis methods. Emerging data capture methods include: use of uncrewed vehicles, 360°cameras, photogrammetry, laser scanners, point cloud systems, and Interferometric Synthetic Aperture Radar (InSar). Emerging data analysis methods include: remote inspection, augmented reality and virtual reality, digital image correlation, artificial intelligence, Big Data and the Internet of Things. The survey concludes with a detailed discussion on the opportunities and barriers to implementation of the reviewed technologies and approaches.

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Section: °Camerasmentioning

confidence: 99%

A survey of emerging technologies for the future of routine visual inspection of bridge structures

Nepomuceno¹,

Vardanega²,

Tryfonas³

et al. 2022

Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability

View full text Add to dashboard Cite

show abstract

“…Similar conclusions were drawn by Koch et al [8] after analysing different large concrete structures (Figure 1). Many efforts are being successfully made to improve the quality and autonomy of UAS-enabled bridge inspections [9][10][11][12][13][14]. Nevertheless, a systematic methodology for inspections is needed to improve the overall quality of bridge inspections.…”

Section: Introductionmentioning

confidence: 99%

“…To avoid the lack of information and to make the available information easier to understand, it is also important to systematize data collection when viewing the images. A clear and systematized protocol using UAV for bridge inspection is also Many efforts are being successfully made to improve the quality and autonomy of UAS-enabled bridge inspections [9][10][11][12][13][14]. Nevertheless, a systematic methodology for inspections is needed to improve the overall quality of bridge inspections.…”

Section: Introductionmentioning

confidence: 99%

A New Methodology for Bridge Inspections in Linear Infrastructures from Optical Images and HD Videos Obtained by UAV

et al. 2022

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Many bridges and other structures worldwide present a lack of maintenance or a need for rehabilitation. The first step in the rehabilitation process is to perform a bridge inspection to know the bridge′s current state. Routine bridge inspections are usually based only on visual recognition. In this paper, a methodology for bridge inspections in communication routes using images acquired by unmanned aerial vehicle (UAV) flights is proposed. This provides access to the upper parts of the structure safely and without traffic disruptions. Then, a standardized and systematized novel image acquisition protocol is applied for data acquisition. Afterwards, the images are studied by civil engineers for damage identification and description. Then, specific structural inspection forms are completed using the acquired information. Recommendations about the need of new and more detailed inspections should be included at this stage when needed. The suggested methodology was tested on two railway bridges in France. Image acquisition of these structures was performed using an UAV for its ability to provide an expert assessment of the damage level. The main advantage of this method is that it makes it possible to safely accurately identify diverse damages in structures without the need for a specialised engineer to go to the site. Moreover, the videos can be watched by as many engineers as needed with no personal movement. The main objective of this work is to describe the systematized methodology for the development of bridge inspection tasks using a UAV system. According to this proposal, the in situ inspection by a specialised engineer is replaced by images and videos obtained from an UAV flight by a trained flight operator. To this aim, a systematized image/videos acquisition method is defined for the study of the morphology and typology of the structural elements of the inspected bridges. Additionally, specific inspection forms are proposed for every type of structural element. The recorded information will allow structural engineers to perform a postanalysis of the damage affecting the bridges and to evaluate the subsequent recommendations.

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“…T diversity of desired missions and associated requirements for multicopter Unmanned Air Vehicles (UAVs) is expanding rapidly. Their utility primarily lies in their agile flight and hovering capabilities, which makes them adept at inspection [1,2], delivery [3], retrieval, and interacting closely with their environment [4]. The energy and power requirements needed to enable this, however, are also a major weakness.…”

Section: Introductionmentioning

confidence: 99%

Extending Endurance of Multicopters: The Current State-of-the-Art

Lussier

Detweiler²,

Bradley

2019

AIAA Scitech 2019 Forum

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This paper presents a detailed analysis on the viability of using alternate power methods for small multicopter Unmanned Air Vehicles (UAVs). Recently, fuel and solar cells have been successfully used to power autonomous winged UAVs for a wide range of applications, but alternate power supplies in multicopters have been much less explored due to increased power requirements compared with their winged counterparts. In this paper we discuss the theory and barriers to this technology along with ways multicopter UAV endurance can be theoretically increased by more than 50% using solar and fuel cells and how future advancements will quickly improve upon these numbers by more than 60% in the coming years.

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Development of a Bridge Inspection Support System Using Two-Wheeled Multicopter and 3D Modeling Technology

Cited by 31 publications

References 7 publications

A survey of emerging technologies for the future of routine visual inspection of bridge structures

A survey of emerging technologies for the future of routine visual inspection of bridge structures

A New Methodology for Bridge Inspections in Linear Infrastructures from Optical Images and HD Videos Obtained by UAV

Extending Endurance of Multicopters: The Current State-of-the-Art

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