The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV

Xiong, Peng; Zhong, Xiaofeng; Zhao, Chao; Chen, Y. Frank; Zhang, Tianyu

doi:10.1155/2020/8811649

Cited by 16 publications

(12 citation statements)

References 31 publications

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“…Several UAV utilizations in the construction industry include those for project assessments, aerial sur-veys, site mapping, enhanced 3D modeling [70], and vehicle tracking [71]. In the field of transportation infrastructure management, UAVs can be useful for condition assessment to capture aerial pictures from pavement surfaces due to their high flexibility, portability, and cost-effectiveness [30,[72][73][74][75][76]. Digital images concerning pavement distress such as cracks, rutting, or patching failure can be captured by mounting a high-resolution camera on a drone from a fixed height [77,78].…”

Section: Application Of Advanced Surveying Methods (Advanced Surveying)mentioning

confidence: 99%

Civil Integrated Management (CIM) for Advanced Level Applications to Transportation Infrastructure: A State-of-the-Art Review

Taheri,

Sobanjo

2024

Infrastructures

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The recent rise in the applications of advanced technologies in the sustainable design and construction of transportation infrastructure demands an appropriate medium for their integration and utilization. The relatively new concept of Civil Integrated Management (CIM) is such a medium; it enhances the development of digital twins for infrastructure and also embodies various practices and tools, including the collection, organization, and data-management techniques of digital data for transportation infrastructure projects. This paper presents a comprehensive analysis of advanced CIM tools and technologies and categorizes its findings into the following research topics: application of advanced surveying methods (Advanced Surveying); geospatial analysis tools for project planning (Geospatial Analysis); multidimensional virtual design models (nD Modeling); Integrated Geospatial and Building Information Modeling (GeoBIM); and transportation infrastructure maintenance and rehabilitation planning (Asset Management). Despite challenges such as modeling complexity, technology investment, and data security, the integration of GIS, BIM, and artificial intelligence within asset-management systems hold the potential to improve infrastructure’s structural integrity and long-term performance through automated monitoring, analysis, and predictive maintenance during its lifetime.

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Section: Application Of Advanced Surveying Methods (Advanced Surveying)mentioning

confidence: 99%

Civil Integrated Management (CIM) for Advanced Level Applications to Transportation Infrastructure: A State-of-the-Art Review

Taheri,

Sobanjo

2024

Infrastructures

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“…[131]- [136], [143], [150] Spalling [11], [62]- [65], [67], [81] [60], [61], [105], [106], [108], [115], [132], [134] Efflorescence [10], [11], [43], [45], [54], [58], [62]- [65], [67], [81] [60], [132] Exposed rebar [11], [62], [64], [65], [67], [70] [60], [108], [115], [150] Generic/others [10], [11], [54], [62]- [65], [67], [80], [81] [60], [108], [132], [150] Steel Corrosion [10], [11], [45], [54], [62]-…”

Section: Concretementioning

confidence: 99%

“…Despite the defect detection/identification, there are other UAV applications for aiding visual inspection, such as 3D reconstructions [43], [45], [48], [50], [51], [55], [60], [66], [70], [71], [74], [76], [90], [91], [98], [99], [105], [106], [118], [142] and damage quantification [63], [66], [67], [69], [71], [80], [81], [81], [96], [108], [131], [136], [140], [143].…”

Section: Concretementioning

confidence: 99%

UAV-based inspection of bridge and tunnel structures: an application review

Toriumi

Bittencourt

Futai

2023

Rev. IBRACON Estrut. Mater.

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Bridges and tunnels are large and complex structures that demand periodic inspections to assess their physical conditions. Although both have different designs and constructions from each other, a common problem they share is the drawbacks that their conventional inspections face. Moreover, conventional procedures not only are laborious, time-consuming, and costly, but also involve high and/or hard-to-reach places, often exposing the specialized inspectors to danger. To overcome these problems, the Unmanned Aerial Vehicle (UAV) is being explored to automate these inspections. Recently, the number of researches employing it within the civil infrastructure condition assessment has been growing in recent years, especially for the inspection of large and complex structures. Unlike the UAV-based bridge inspection that already has some review articles available in the literature, there are none yet for the tunnel inspection, to the best of authors' knowledge. Therefore, this article intends to conduct not only a review of the few UAV-based tunnel inspection researches available in the literature, but also an up-to-date review of UAV-based bridge inspection researches. Finally, the key challenges and future trends of the UAV-based inspection of these two structures are discussed, followed by the review conclusions.

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“…In order to improve the accuracy of dynamic obstacle recognition, this paper designs an obstacle recognition method based on space-time feature vectors. The main process is shown in Figure 6 (Yi-Shueh and Wang, 2020; Peng et al , 2020).…”

Section: Dynamic Obstacle Recognitionmentioning

confidence: 99%

Unmanned vehicle dynamic obstacle detection, tracking and recognition method based on laser sensor

Zhang

Ikbal

2021

IJICC

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PurposeIn response to these shortcomings, this paper proposes a dynamic obstacle detection and tracking method based on multi-feature fusion and a dynamic obstacle recognition method based on spatio-temporal feature vectors.Design/methodology/approachThe existing dynamic obstacle detection and tracking methods based on geometric features have a high false detection rate. The recognition methods based on the geometric features and motion status of dynamic obstacles are greatly affected by distance and scanning angle, and cannot meet the requirements of real traffic scene applications.FindingsFirst, based on the geometric features of dynamic obstacles, the obstacles are considered The echo pulse width feature is used to improve the accuracy of obstacle detection and tracking; second, the space-time feature vector is constructed based on the time dimension and space dimension information of the obstacle, and then the support vector machine method is used to realize the recognition of dynamic obstacles to improve the obstacle The accuracy of object recognition. Finally, the accuracy and effectiveness of the proposed method are verified by real vehicle tests.Originality/valueThe paper proposes a dynamic obstacle detection and tracking method based on multi-feature fusion and a dynamic obstacle recognition method based on spatio-temporal feature vectors. The accuracy and effectiveness of the proposed method are verified by real vehicle tests.

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The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV

Cited by 16 publications

References 31 publications

Civil Integrated Management (CIM) for Advanced Level Applications to Transportation Infrastructure: A State-of-the-Art Review

Civil Integrated Management (CIM) for Advanced Level Applications to Transportation Infrastructure: A State-of-the-Art Review

UAV-based inspection of bridge and tunnel structures: an application review

Unmanned vehicle dynamic obstacle detection, tracking and recognition method based on laser sensor

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