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Journal articles on the topic 'Bridge inspection with UAS'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Kim, In-Ho, Sungsik Yoon, Jin Hwan Lee, Sungwook Jung, Soojin Cho, and Hyung-Jo Jung. "A Comparative Study of Bridge Inspection and Condition Assessment between Manpower and a UAS." Drones 6, no. 11 (2022): 355. http://dx.doi.org/10.3390/drones6110355.

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As the number of old bridges increases, the number of bridges with structural defects is also increasing. Timely inspection and maintenance of bridges are required because structural degradation is accelerated after bridge damage. Recently, in the field of structural health monitoring, a bridge inspection using an unmanned aerial vehicle system (UAS) is receiving a lot of attention. In this paper, UAS-based automatic damage detection and bridge condition evaluation were performed on existing bridges. From the process of preparing for inspection to the management of inspection data, the entire

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Bartczak, E. T., M. Bassier, and M. Vergauwen. "CASE STUDY FOR UAS-ASSISTED BRIDGE INSPECTIONS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W3-2023 (May 12, 2023): 33–39. http://dx.doi.org/10.5194/isprs-archives-xlviii-2-w3-2023-33-2023.

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Abstract. Bridge inspections are typically expensive and time-consuming, especially in regards of the inspection of difficult-to-reach areas. In recent years, unmanned aerial systems (UASs) have gained attention due to their flexible data acquisition. However, UAS inspections generate large quantities of image and video data, which are currently analysed manually. Additionally, identified damages are currently not assessed accurately in their geometric characteristics and location. In this paper, we propose a time-effective framework for a UAS-based bridge inspection methodology that combines

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Hubbard, Bryan, and Sarah Hubbard. "Unmanned Aircraft Systems (UAS) for Bridge Inspection Safety." Drones 4, no. 3 (2020): 40. http://dx.doi.org/10.3390/drones4030040.

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Unmanned aircraft systems (UAS) are an excellent tool to remove bridge inspection workers from potential harm. Previous research has documented that UAS for bridge inspection is a strategic priority of a state’s Department of Transportation (DOT), and this paper presents how they can increase safety and presents one methodology to quantify the economic benefit. Although previous studies have documented the potential benefits of using UAS for bridge inspection, these studies have primarily focused on efficiency and capabilities. This paper investigates in greater detail the potential to use UAS

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Seo, Junwon, Luis Duque, and James P. Wacker. "Field Application of UAS-Based Bridge Inspection." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 12 (2018): 72–81. http://dx.doi.org/10.1177/0361198118780825.

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The use of Unmanned Aerial Systems (UASs), commonly known as drones, has significantly increased over recent years in the field of civil engineering. In detail, the need for a more efficient alternative for bridge inspection has risen because of the increased interest from bridge owners. The primary goal of this paper is to evaluate the efficiency of a drone as a supplemental bridge inspection tool. To complete this study, a glued laminated (glulam) girder with a composite concrete deck bridge was chosen in South Dakota, and a Dà-Jiāng Innovations (DJI) Phantom 4 drone, was employed to perform

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Bartczak, E. T., M. Bassier, and M. Vergauwen. "PROCEEDINGS IN UAS-ASSISTED BRIDGE INSPECTIONS: RTK-BASED PHOTOGRAMMETRIC RECONSTRUCTION AND SPATIAL FILTERING." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 14, 2023): 1873–80. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1873-2023.

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Abstract. Traditional bridge inspections present considerable challenges in terms of efficiency and accuracy. However, recent advancements in Unmanned Aerial Systems (UASs) and deep learning for object detection have opened up new avenues for automatic bridge damage detection. We present a comprehensive framework leveraging these technologies for automated damage detection in UAS imagery, followed by accurate mapping of the damage predictions on photogrammetric models. In this work, we propose a photogrammetric procedure to retrieve geolocated bridge models solely based on Real-Time Kinematics

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Aldana Rodriguez, Didier, Diego Leonardo Ávila Granados, and Jorge Armando Villalba-Vidales. "Use of Unmanned Aircraft Systems for Bridge Inspection: A Review." DYNA 88, no. 217 (2021): 32–41. http://dx.doi.org/10.15446/dyna.v88n217.91879.

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This review describes the use of Unmanned Aircraft Systems (UAS) for bridge inspection, with an emphasis on Multi-rotor UAS. It depicts the different levels of automation and autonomy during UAS operation and what levels are achieved during inspections. A description of the payload of UAS consisting of the equipment required to acquire data and images is included. It also contains a compendium of the techniques used to create models from images in order to detect failures and perform Structural Health Monitoring (SHM) through techniques, such as: 3D reconstruction, infrared thermography, Struc

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Xu, Yiye, and Yelda Turkan. "BrIM and UAS for bridge inspections and management." Engineering, Construction and Architectural Management 27, no. 3 (2019): 785–807. http://dx.doi.org/10.1108/ecam-12-2018-0556.

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Purpose The purpose of this paper is to develop a novel and systematic framework for bridge inspection and management to improve the efficiency in current practice. Design/methodology/approach A new framework that implements camera-based unmanned aerial systems (UASs) with computer vision algorithms to collect and process inspection data, and Bridge Information Modeling (BrIM) to store and manage all related inspection information is proposed. An illustrative case study was performed using the proposed framework to test its feasibility and efficiency. Findings The test results of the proposed

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Pokhrel, Rojal, Reihaneh Samsami, Saida Elmi, and Colin N. Brooks. "Automated Concrete Bridge Deck Inspection Using Unmanned Aerial System (UAS)-Collected Data: A Machine Learning (ML) Approach." Eng 5, no. 3 (2024): 1937–60. http://dx.doi.org/10.3390/eng5030103.

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Bridges are crucial components of infrastructure networks that facilitate national connectivity and development. According to the National Bridge Inventory (NBI) and the Federal Highway Administration (FHWA), the cost to repair U.S. bridges was recently estimated at approximately USD 164 billion. Traditionally, bridge inspections are performed manually, which poses several challenges in terms of safety, efficiency, and accessibility. To address these issues, this research study introduces a method using Unmanned Aerial Systems (UASs) to help automate the inspection process. This methodology em

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Atadero, Jia, Abdallah, and Ozbek. "An Integrated Uncertainty-Based Bridge Inspection Decision Framework with Application to Concrete Bridge Decks." Infrastructures 4, no. 3 (2019): 50. http://dx.doi.org/10.3390/infrastructures4030050.

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The limitations of the standard two-year interval for the visual inspection of bridges required by the U.S. National Bridge Inspection Standards have been well documented, and alternative approaches to bridge inspection planning have been presented in recent literature. This paper explores a different strategy for determining the interval between inspections and the type of inspection technique to use for bridges. The foundational premise of the proposed approach is that bridge inspections are conducted to increase knowledge about the bridge’s current condition, and therefore, are only require

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Achuthan, Kamal, Nick Hay, Mostafa Aliyari, and Yonas Zewdu Ayele. "A Digital Information Model Framework for UAS-Enabled Bridge Inspection." Energies 14, no. 19 (2021): 6017. http://dx.doi.org/10.3390/en14196017.

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Unmanned aerial systems (UAS) provide two main functions with regards to bridge inspections: (1) high-quality digital imaging to detect element defects; (2) spatial point cloud data for the reconstruction of 3D asset models. With UAS being a relatively new inspection method, there is little in the way of existing framework for storing, processing and managing the resulting inspection data. This study has proposed a novel methodology for a digital information model covering data acquisition through to a 3D GIS visualisation environment, also capable of integrating within a bridge management sys

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Whitley, Travis, Andy Tomiczek, Chad Tripp, et al. "Design of a Small Unmanned Aircraft System for Bridge Inspections." Sensors 20, no. 18 (2020): 5358. http://dx.doi.org/10.3390/s20185358.

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Bridge inspections are an important procedure for maintaining the infrastructure vital to our economy and well-being. The current methodology of utilizing specialized equipment such as snooper trucks and scaffolding to support manned-inspections poses a significant financial cost, disrupts traffic, and is dangerous to the inspectors and public. The advent of unmanned aerial systems (UAS), more commonly called drones, presents a practical solution that promises reduced cost, enhanced safety, and is significantly less intrusive than previous methodologies. Current limitations in the implementati

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Pinto, L., F. Bianchini, V. Nova, and D. Passoni. "LOW-COST UAS PHOTOGRAMMETRY FOR ROAD INFRASTRUCTURES’ INSPECTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 14, 2020): 1145–50. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-1145-2020.

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Abstract. All over the world, road infrastructures are getting closer to their life cycle and need to be constantly inspected: a consistent number of bridges are structurally deficient, and the risk of collapse can no longer be excluded. In contrast with the past, the interest in structure durability has recently grown rapidly. In order to make bridges durable, it is necessary to carry out ordinary maintenance, preceded by inspection activities, which can be traditionally divided in two categories: destructive and non-destructive (NDT). All the NDT inspections (visual, IR thermography, GPR) ca

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Mandirola, M., C. Casarotti, S. Peloso, I. Lanese, E. Brunesi, and I. Senaldi. "Use of UAS for damage inspection and assessment of bridge infrastructures." International Journal of Disaster Risk Reduction 72 (April 2022): 102824. http://dx.doi.org/10.1016/j.ijdrr.2022.102824.

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14

Jiang, Shang, Jian Zhang, Weiguo Wang, and Yingjun Wang. "Automatic Inspection of Bridge Bolts Using Unmanned Aerial Vision and Adaptive Scale Unification-Based Deep Learning." Remote Sensing 15, no. 2 (2023): 328. http://dx.doi.org/10.3390/rs15020328.

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Bolted connections are essential components that require regular inspection to ensure bridge safety. Existing methods mainly rely on traditional artificial vision-based inspection, which is inefficient due to the many bolts of bridges. A vision-based method using deep learning and unmanned aerial vision is proposed to automatically analyze the bridge bolts’ condition. The contributions are as follows: (1) Addressing the problems that motion blur often exists in videos captured by unmanned ariel systems (UASs) with high moving speed, and that bolt damage is hard to accurately detect due to the

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Song, Fei, Ying Sun, and Guixia Yuan. "Autonomous Identification of Bridge Concrete Cracks Using Unmanned Aircraft Images and Improved Lightweight Deep Convolutional Networks." Structural Control and Health Monitoring 2024 (February 5, 2024): 1–15. http://dx.doi.org/10.1155/2024/7857012.

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The identification of the development of structural defects is an important part of bridge structure damage diagnosis, and cracks are considered the most typical and highly dangerous structural disease. However, existing deep learning-based methods are mostly aimed at the scene of concrete cracks, while they rarely focus on designing network architectures to improve the vision-based model performance from the perspective of unmanned aircraft system (UAS) inspection, which leads to a lack of specificity. Because of this, this study proposes a novel lightweight deep convolutional neural network-

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Lee, Sangwook, and Nikolas Kalos. "BRIDGE INSPECTION PRACTICES USING NON-DESTRUCTIVE TESTING METHODS." Journal of Civil Engineering and Management 21, no. 5 (2015): 654–65. http://dx.doi.org/10.3846/13923730.2014.890665.

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Non-Destructive Testing (NDT) methods have been developed and employed as a means of rapid and effective structural inspection. Despite the various kinds of NDT methods developed for bridge inspection, not much study has been performed on their usage and effectiveness at a practical level. This paper presents an evaluation of NDT methods to identify how they are implemented in state agencies in the U.S. The findings and analysis presented herein were based on the results obtained from a survey questionnaire, targeted at Departments of Transportation (DOTs) in all U.S. states and territories. T

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Wang, Shifu, Shaopeng Yang, Qi Wang, Lingfeng Luo, and Feng Wang. "Non-contact intelligent detection technology for railway arch bridge performance degradation based on UAV Image recognition." Journal of the Croatian Association of Civil Engineers 77, no. 1 (2025): 1–11. https://doi.org/10.14256/jce.3925.2023.

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Bridges are crucial components of high-speed railway projects, and their structural integrity significantly impacts the operational safety of high-speed railways. This paper introduces a non-contact intelligent detection technology for assessing the deterioration of high-speed railway bridges using unmanned aerial vehicle (UAV) image recognition. The methodology involves collecting image data using a UAV and digital camera and processing them technically to generate consistent point-cloud data. Subsequently, these data are integrated into a unified point-cloud model through point-cloud alignme

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Nasimi, Roya, Fernando Moreu, and G. Matthew Fricke. "Sensor Equipped UAS for Non-Contact Bridge Inspections: Field Application." Sensors 23, no. 1 (2023): 470. http://dx.doi.org/10.3390/s23010470.

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In the future, sensors mounted on uncrewed aerial systems (UASs) will play a critical role in increasing both the speed and safety of structural inspections. Environmental and safety concerns make structural inspections and maintenance challenging when conducted using traditional methods, especially for large structures. The methods developed and tested in the laboratory need to be tested in the field on real-size structures to identify their potential for full implementation. This paper presents results from a full-scale field implementation of a novel sensor equipped with UAS to measure non-

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Hubbard, Sarah, and Bryan Hubbard. "A Method for Selecting Strategic Deployment Opportunities for Unmanned Aircraft Systems (UAS) for Transportation Agencies." Drones 4, no. 3 (2020): 29. http://dx.doi.org/10.3390/drones4030029.

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Unmanned aircraft systems (UAS) are increasingly used for a variety of applications by state Departments of Transportation (DOT) and local transportation agencies due to technology advancements, lower costs, and regulatory changes that have simplified operations. There are numerous applications (e.g., bridge inspection, traffic management, incident response, construction and roadway mapping) and agencies find it challenging to prioritize which applications are most appropriate. Important factors to consider when prioritizing UAS applications include: (1) benefits, (2) ease of adoption, (3) sta

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Abdallah, Abdelrahman M., Mehmet E. Ozbek, and Rebecca A. Atadero. "Transferring Research Innovations in Bridge Inspection Planning to Bridge Inspection Practice: A Qualitative Study." Infrastructures 8, no. 11 (2023): 164. http://dx.doi.org/10.3390/infrastructures8110164.

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Over the last two decades, many researchers have focused on providing new ideas and frameworks to help improve conventional bridge inspection planning approaches, however, little guidance is provided for implementing these new ideas in practice, resulting in limited change. Accordingly, this qualitative study aims to identify the factors that can help improve research products and accelerate research transfer to bridge inspection departments with the goal of enhancing bridge inspection practice. This study used semi-structured interviews, written interviews, and questionnaires for data collect

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Li, Hongze, Yanli Chen, Jia Liu, Zheng Zhang, and Hang Zhu. "Unmanned Aircraft System Applications in Damage Detection and Service Life Prediction for Bridges: A Review." Remote Sensing 14, no. 17 (2022): 4210. http://dx.doi.org/10.3390/rs14174210.

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The increasing need for inexpensive, safe, highly efficient, and time-saving damage detection technology, combined with emerging technologies, has made damage detection by unmanned aircraft systems (UAS) an active research area. In the past, numerous sensors have been developed for damage detection, but these sensors have only recently been integrated with UAS. UAS damage detection specifically concerns data collection, path planning, multi-sensor fusion, system integration, damage quantification, and data processing in building a prediction model to predict the remaining service life. This re

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Jeong, Yoseok, WooSeok Kim, Ilkeun Lee, and Jaeha Lee. "Bridge inspection practices and bridge management programs in China, Japan, Korea, and U.S." Journal of Structural Integrity and Maintenance 3, no. 2 (2018): 126–35. http://dx.doi.org/10.1080/24705314.2018.1461548.

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Kim, Ji-Eun, and Jun-Hee Yoon. "A Study on Construction of 3D Modeling System for Efficient UAV-Based Bridge Inspection." Journal of the Korea Academia-Industrial cooperation Society 23, no. 10 (2022): 719–27. http://dx.doi.org/10.5762/kais.2022.23.10.719.

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Lee, Sangwook, Niko Kalos, and Do Hyoung Shin. "Non-destructive testing methods in the U.S. for bridge inspection and maintenance." KSCE Journal of Civil Engineering 18, no. 5 (2014): 1322–31. http://dx.doi.org/10.1007/s12205-014-0633-9.

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Oyegbile, O. Brian, and Mi G. Chorzepa. "A Strategic Move for Long-Term Bridge Performance within a Game Theory Framework by a Data-Driven Co-Active Mechanism." Infrastructures 5, no. 10 (2020): 79. http://dx.doi.org/10.3390/infrastructures5100079.

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The Federal Highway Administration (FHWA) requires that states have less than 10% of the total deck area that is structurally deficient. It is a minimum risk benchmark for sustaining the National Highway System bridges. Yet, a decision-making framework is needed for obtaining the highest possible long-term return from investments on bridge maintenance, rehabilitation, and replacement (MRR). This study employs a data-driven coactive mechanism within a proposed game theory framework, which accounts for a strategic interaction between two players, the FHWA and a state Department of Transportation

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Bryson, David W., Daniel G. Ghere, and William H. Hulbert. "European Practice for Bridge Scour and Stream Instability Countermeasures." Transportation Research Record: Journal of the Transportation Research Board 1696, no. 1 (2000): 236–43. http://dx.doi.org/10.3141/1696-69.

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FHWA, AASHTO, and TRB sponsored a scanning review of European practice for bridge scour and stream instability countermeasures in October 1998. The review involved a panel of representatives from six state highway agencies (California, Illinois, Maryland, Minnesota, Oregon, and South Carolina), FHWA, two universities, and the private sector. The review included visits to hydraulic research laboratories, highway research institutes, and field sites in four countries—Switzerland, Germany, the Netherlands, and the United Kingdom. Findings during the scanning review can be classified as general ob

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Dorafshan, Thomas, and Maguire. "Benchmarking Image Processing Algorithms for Unmanned Aerial System-Assisted Crack Detection in Concrete Structures." Infrastructures 4, no. 2 (2019): 19. http://dx.doi.org/10.3390/infrastructures4020019.

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This paper summarizes the results of traditional image processing algorithms for detection of defects in concrete using images taken by Unmanned Aerial Systems (UASs). Such algorithms are useful for improving the accuracy of crack detection during autonomous inspection of bridges and other structures, and they have yet to be compared and evaluated on a dataset of concrete images taken by UAS. The authors created a generic image processing algorithm for crack detection, which included the major steps of filter design, edge detection, image enhancement, and segmentation, designed to uniformly co

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Cui, Qingbin, Marcel Ham, Patrick DeCorla-Souza, and Emma Weaver. "Review of Handback Experience with Public–Private Partnerships." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 4 (2018): 65–76. http://dx.doi.org/10.1177/0361198118778928.

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Public–Private Partnership (P3) handback experience is very limited in the U.S. and internationally. This paper analyzes the handback experience in three highway P3 projects: East-Link Bridge in Dublin, Ireland, Highway 4 (VT4 Järvenpää-Lahti) in Finland, and M4 Tollway in New South Wales, Australia. Two of the projects did not have any material handback clauses in their P3 contracts. Still, the handback processes and outcomes of all three projects are considered successful. The projects experienced a relatively smooth handback process, mainly because of very good working relationships between

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Zhou, Shi, and Masoud Gheisari. "Unmanned aerial system applications in construction: a systematic review." Construction Innovation 18, no. 4 (2018): 453–68. http://dx.doi.org/10.1108/ci-02-2018-0010.

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PurposeOver the past decade, researchers have used unmanned aerial systems (UASs) in construction industry for various applications from site inspection to safety monitoring or building maintenance. This paper aims to assort academic studies on construction UAS applications, summarize logics behind using UAS in each application and extend understanding of current state of UAS research in the construction setting.Design/methodology/approachThis research follows a systematic literature assessment methodology to summarize the results of 54 research papers over the past ten years and outlines the

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Whitman, Jarrell, Michael Perez, and Roy Sturgill. "Exploring the Integration of Unmanned Aerial System Technologies into Stormwater Control Inspection Programs." Water 15, no. 22 (2023): 3924. http://dx.doi.org/10.3390/w15223924.

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Construction stormwater best management practices and post-construction stormwater control measures are controls and techniques designed to manage and treat stormwater runoff. Departments of Transportation (DOTs) within the United States rely on these practices to treat and improve water quality emanating from DOT rights of way. To ensure operational performance, these practices undergo periodical inspections to identify if operational deficiencies exist and if corrective measures need to be deployed. The inspection process is often conducted on foot by a qualified inspector and can require a

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Jeong, Kyeongtae, Chaeyeon Yu, Donghoon Lee, and Sungjin Kim. "A Computational Model for Simulating the Performance of UAS-Based Construction Safety Inspection through a System Approach." Drones 7, no. 12 (2023): 696. http://dx.doi.org/10.3390/drones7120696.

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Recent studies have been focusing on unmanned aircraft systems (UASs) to inspect safety issues in the construction industry. A UAS can monitor a broad range in real time and identify unsafe situations and objects at the jobsite. The related studies mostly focus on technological development, and there are few studies investigating potential performance that can be obtained by implementing UASs in the construction domain. Hence, the main objective of this research is to evaluate the potential of UAS-based construction safety inspection. To achieve the goal, this study developed a system dynamic

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Rizzo, Piervincenzo, and Alireza Enshaeian. "Challenges in Bridge Health Monitoring: A Review." Sensors 21, no. 13 (2021): 4336. http://dx.doi.org/10.3390/s21134336.

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Bridge health monitoring is increasingly relevant for the maintenance of existing structures or new structures with innovative concepts that require validation of design predictions. In the United States there are more than 600,000 highway bridges. Nearly half of them (46.4%) are rated as fair while about 1 out of 13 (7.6%) is rated in poor condition. As such, the United States is one of those countries in which bridge health monitoring systems are installed in order to complement conventional periodic nondestructive inspections. This paper reviews the challenges associated with bridge health

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Bailey, Robert E., and Chris T. O'Neil. "Best Practices on Performing a Tactical Port Security Risk Assessment Using Risk-Based Decision-Making1." International Oil Spill Conference Proceedings 2003, no. 1 (2003): 727–31. http://dx.doi.org/10.7901/2169-3358-2003-1-727.

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ABSTRACT In the wake of September 11, 2001, Captains of the Port (COTPs) nationwide set into motion various security measures to protect potential targets (referred to as an “asset” throughout this paper) located in, on or near navigable waterways. However, the way in which these measures were carried out and the degree to which they were enforced were vastly different from port to port and raised much speculation in the U.S. maritime community over what the security landscape of the future would look like. Over one year later, maritime security practices remain a widely debated issue and one

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Hosteng, Travis, Brent Phares, Terry Wipf, Mike Ritter, and Doug Wood. "Live Load Deflection Performance of Glued Laminated Timber Girder Bridges." Transportation Research Record: Journal of the Transportation Research Board 1928, no. 1 (2005): 174–82. http://dx.doi.org/10.1177/0361198105192800119.

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To demonstrate and possibly to promote the increased use of timber bridges in U.S. transportation systems, various agencies, including the United States Department of Agriculture Forest Products Laboratory and FHWA, have supported research to develop improved glued laminated timber bridges. This project is part of this research and identifies acceptable live load deflection characteristics of timber bridges. The relationship between live load deflection and the condition of the asphalt wearing surface is of particular interest. To accomplish this, eight glued laminated timber girder bridges we

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Jacobsen, Rune Hylsberg, Lea Matlekovic, Liping Shi, et al. "Design of an Autonomous Cooperative Drone Swarm for Inspections of Safety Critical Infrastructure." Applied Sciences 13, no. 3 (2023): 1256. http://dx.doi.org/10.3390/app13031256.

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Inspection of critical infrastructure with drones is experiencing an increasing uptake in the industry driven by a demand for reduced cost, time, and risk for inspectors. Early deployments of drone inspection services involve manual drone operations with a pilot and do not obtain the technological benefits concerning autonomy, coordination, and cooperation. In this paper, we study the design needed to handle the complexity of an Unmanned Aerial System (UAS) to support autonomous inspection of safety-critical infrastructure. We apply a constructive research approach to link innovation needs wit

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Jiang, Shang, Jian Zhang, and Chenhao Gao. "Bridge Deformation Measurement Using Unmanned Aerial Dual Camera and Learning-Based Tracking Method." Structural Control and Health Monitoring 2023 (April 17, 2023): 1–19. http://dx.doi.org/10.1155/2023/4752072.

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Bridge deformation response data are the basis for calculating the dynamic parameters of the bridge, and it is of great significance to accurately measure the deformation response of the bridge during the load test and service conditions. A bridge deformation measurement method using an unmanned aerial system (UAS) with dual cameras and a deep learning-based object tracking method is proposed to measure the bridge deformation. The contributions are as follows: (1) To address the problem that the movement of the UAS brings error to the deformation measurement results, dual cameras with telephot

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Hachem, Youssef, Konstantinos Zografos, and Merhdad Soltani. "Bridge Inspection Strategies." Journal of Performance of Constructed Facilities 5, no. 1 (1991): 37–56. http://dx.doi.org/10.1061/(asce)0887-3828(1991)5:1(37).

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Grüter, Rolf, and Rolf Hoffmann. "Bridge Inspection Vehicles." Structural Engineering International 2, no. 2 (1992): 92–94. http://dx.doi.org/10.2749/101686692780615923.

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Papa, Umberto, and Salvatore Ponte. "Preliminary Design of an Unmanned Aircraft System for Aircraft General Visual Inspection." Electronics 7, no. 12 (2018): 435. http://dx.doi.org/10.3390/electronics7120435.

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Among non-destructive inspection (NDI) techniques, General Visual Inspection (GVI), global or zonal, is the most widely used, being quick and relatively less expensive. In the aeronautic industry, GVI is a basic procedure for monitoring aircraft performance and ensuring safety and serviceability, and over 80% of the inspections on large transport category aircrafts are based on visual testing, both directly and remotely, either unaided or aided via mirrors, lenses, endoscopes or optic fiber devices coupled to cameras. This paper develops the idea of a global and/or zonal GVI procedure implemen

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Bonnin-Pascual, Francisco, Emilio Garcia-Fidalgo, Joan P. Company-Corcoles, and Alberto Ortiz. "MUSSOL: A Micro-Uas to Survey Ship Cargo hOLds." Remote Sensing 13, no. 17 (2021): 3419. http://dx.doi.org/10.3390/rs13173419.

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Because of their high maneuverability and fast deployment times, aerial robots have recently gained popularity for automating inspection tasks. In this paper, we address the visual inspection of vessel cargo holds, aiming at safer, cost-efficient and more intensive visual inspections of ships by means of a multirotor-type platform. To this end, the vehicle is equipped with a sensor suite able to supply the surveyor with imagery from relevant areas, while the control software is supporting the operator during flight with enhanced functionalities and reliable autonomy. All this has been accompli

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SHIMIZU, Kohichiroh, Kouji TANNO, Sayaka YAMANE, and Akihiro MATSUOKA. "Inspection of Long and Massive Bridge by Bridge Inspection Robot Camera." Journal of the Japan Society for Precision Engineering 88, no. 3 (2022): 244–48. http://dx.doi.org/10.2493/jjspe.88.244.

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Wakayama, Masanobu. "Inspection by “Bridge Dragon”, the Bridge Inspection Robot System." Journal of the Robotics Society of Japan 34, no. 9 (2016): 575–76. http://dx.doi.org/10.7210/jrsj.34.575.

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Su, Dan, Yisheng Liu, Xintong Li, and Zhicheng Cao. "Study on optimization of inspection mechanism of concrete beam bridge." PLOS ONE 16, no. 8 (2021): e0256028. http://dx.doi.org/10.1371/journal.pone.0256028.

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China is shifting from the stage of large-scale bridge construction to the stage of equal emphasis on the construction and maintenance of bridges. The problems of low efficiency and high cost in bridge inspection are becoming more and more prominent, which threaten people’s life safety. In this paper, the deterioration state prediction model of concrete beam bridge under Boosting DT C5.0 was established as the basis, and optimization suggestions were put forward in terms of bridge inspection standards and processes, which aims to perfect the bridge inspection mechanism, realize the fine manage

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Al-Tahir, Raid, and Giatri K. Lalla. "Assessment of the Emerging Landscape of Unmanned Aerial Systems in Trinidad and Tobago." West Indian Journal of Engineering 44, no. 1 (2021): 18–25. http://dx.doi.org/10.47412/mtnv5056.

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Interest in the civilian applications of Unmanned Aerial Systems (UAS) has been growing worldwide, especially in government and commercial tasks such as surveillance, search and rescue, inspection of infrastructure, agriculture, mining, and mapping. Likewise, Trinidad and Tobago (T&T) has been witnessing a growing interest and application of commercial and non-commercial UAS operations. However, there is little assessment for the growth of the UAS market nor is there characterisation of UAS-based activities since the pertinent regulations established in 2016. This study seeks to formally i

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Samsami, Reihaneh, Amlan Mukherjee, and Colin N. Brooks. "Automated Pavement Construction Inspection Using Uncrewed Aerial Systems (UAS)—Hot Mixed Asphalt (HMA) Temperature Segregation." Drones 7, no. 7 (2023): 419. http://dx.doi.org/10.3390/drones7070419.

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Temperature segregation in Hot Mixed Asphalt (HMA) pavement construction leads to performance problems, such as reduced fatigue life. During construction, Quality Assurance (QA) inspection procedures are required to evaluate the pavement condition and detect the segregated areas. In traditional HMA highway construction inspection processes, temperature differences are investigated manually, by sampling the HMA behind the paver. In these processes, inspectors are required to work adjacent to traffic and alongside moving or backing equipment. These processes do not provide a complete temperature

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Rochat, Judy. "Unmanned Aircraft/Aerial System (UAS) Noise Compilation." Noise Control Engineering Journal 71, no. 6 (2023): 398. http://dx.doi.org/10.3397/1/377134.

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Unmanned aircraft/aerial systems (UASs) can be used for many purposes, for example, in servicing delivery, recreational activities, utility inspection, and film industries. Use of UAS vehicles is limited, with more widespread use pending approval. For some applications, use of UAS vehicles can expose communities to a type of noise not currently experienced, with current noise sources typically related to transportation systems (e.g., aircraft, rail, and road or highway noise sources), home activities (e.g., air conditioning units and lawn car), and industrial noise sources. It is important to

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Kemp, L., W. J. vd M. Steyn, and M. P. Roux. "Enhanced methodology for visual bridge inspections in South Africa." Journal of the South African Institution of Civil Engineering 64, no. 3 (2022): 50–57. http://dx.doi.org/10.17159/2309-8775/2022/v64n3a6.

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This paper introduces the application of technology solutions into the realm of bridge inspection methodologies in South Africa, aiming to enhance the current visual bridge inspection methodology. Unmanned Aerial Vehicles (UAVs) can be used as an alternative to collect bridge image data, and point cloud models can be created from captured images by using photogrammetry software. For this study, accredited bridge inspectors were approached to complete TMH 19 inspection sheets of bridge structures using only the point cloud models and captured images, as a proposed new inspection methodology. Th

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Dietrich, Jaakko I., Mikko A. Inkala, and Vesa J. Männistö. "Bridge Inspection Quality Management." Transportation Research Record: Journal of the Transportation Research Board 1933, no. 1 (2005): 2–8. http://dx.doi.org/10.1177/0361198105193300101.

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Reliable data on the condition of bridge networks are critical for successful bridge management. However, little attention has been paid to the quality of the data gathered in bridge inspections. This paper reviews the most important areas of bridge inspection that cause variation in bridge condition data and presents possible misjudgments made as a result of poor inspection data quality. The main elements of the inspection quality management system adopted in the Finnish Road Administration are presented, and the development of the quality of inspection data in 2002 and 2003 is briefly summar

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Murphy, Robin R., Eric Steimle, Michael Hall, et al. "Robot-Assisted Bridge Inspection." Journal of Intelligent & Robotic Systems 64, no. 1 (2011): 77–95. http://dx.doi.org/10.1007/s10846-010-9514-8.

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Ajith, V. S., and KG Jolly. "Unmanned aerial systems in search and rescue applications with their path planning: a review." Journal of Physics: Conference Series 2115, no. 1 (2021): 012020. http://dx.doi.org/10.1088/1742-6596/2115/1/012020.

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Abstract In recent days, the Unmanned Aerial Systems (UAS) is an emerging technology rapidly across many warfare’s and enable new civilian domains which include real-time monitoring, security, border surveillance, wildlife surveys, providing wireless coverage, weather monitoring, smart farming, surveying, search and rescue, products delivery, farming, and civil structure inspection. Initially, there were many challenges in the design and control of UAS as it lacks an onboard pilot for navigation. Now the condition is improved with the implementation of artificial intelligence techniques in pat

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