Use of Unmanned Aerial Vehicles (UAVs) and Photogrammetry to Obtain the International Roughness Index (IRI) on Roads

Prosser-Contreras, Matías; Atencio, Edison; Rivera, Felipe Muñoz-La; Herrera, Rodrigo

doi:10.3390/app10248788

Cited by 20 publications

(9 citation statements)

References 30 publications

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“…Despite numerous studies investigating road distress modeling, to the best of our knowledge, Prosser-Contreras et al were the first to use drone surveying for road roughness assessment ( 25 ). They calculated the IRI values from a road longitudinal profile which was generated from the captured images.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparison of Smartphone-Based and Drone-Based Approaches for Assessing Road Roughness

Afsharnia

Ghavami

2023

Transportation Research Record: Journal of the Transportation R

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Continuous road-pavement condition monitoring is essential to maintain the effectiveness and performance of road infrastructure. It also helps to optimize resource allocation and prioritization for pavement rehabilitation programs. The traditional methods that have been used for assessing road pavement condition are high cost and time consuming. Contrary to conventional methods, low-cost and new emerging technologies such as smartphones and drones can be used. The study aims to investigate the merits of using two different types of device for assessing road roughness: the smartphone as a response-type and the drone as a non-contact-type device. To this end, firstly, linear vertical acceleration data is collected by using a smartphone that is mounted on a car dashboard. Then, the collected data is used for calculating vertical displacement data using a fast Fourier transform. The displacement data is used for calculating international roughness index (IRI) as a measure of road roughness. Secondly, a drone flies over the studied road to construct a 3D model, extract the longitudinal profile, and eventually calculate the accurate IRI values of the road. Finally, the results of the approaches above will be compared with the results of a road surface profiler (RSP) as a reference method. Although the results reveal a significant correlation (above 0.8) of both methods with the RSP method, from an operational point of view, the smartphone was more cost and time effective, and also an easy-to-use approach for the purpose.

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Section: Literature Reviewmentioning

confidence: 99%

Comparison of Smartphone-Based and Drone-Based Approaches for Assessing Road Roughness

Afsharnia

Ghavami

2023

Transportation Research Record: Journal of the Transportation R

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“…The ability of UAVs to capture high-resolution images with considerable overlap allows dense and accurate road CI 22,3 models to be reconstructed. Such a road model represents a variety of road features, including road boundaries, potholes and road surface roughness, which can be detected by filtering and estimating the international roughness index (Prosser-Contreras et al, 2020;Nappo et al, 2021). The ground sample distances (GSDs) of camera systems, ground altitude and image wrap rate have also been reported (Tan and Li, 2019;Chio and Chiang, 2020;Mukti and Nizam, 2021).…”

Section: Unmanned Aerial Vehicles Photogrammetry-based Road Surface M...mentioning

confidence: 99%

Quantitative visualization of physical barriers for vulnerable pedestrians based on photogrammetry

Taniguchi

Kubota

Yasumuro

2022

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Purpose The purpose of this study is to propose a method for vulnerable pedestrians to visualize potential obstacles on sidewalks. In recent years, the number of vulnerable pedestrians has been increasing as Japanese society has aged. The number of wheelchair users is also expected to increase in the future. Currently, barrier-free maps and street-view applications can be used by wheelchair users to check possible routes and the surroundings of their destinations in advance. However, identifying physical barriers that pose a threat to vulnerable pedestrians en route is often difficult. Design/methodology/approach This study uses photogrammetry to create a digital twin of the three-dimensional (3D) geometry of the existing walking space by collecting photographic images taken on sidewalks. This approach allows for the creation of high-resolution digital elevation models of the entire physical sidewalk surface from which physical barriers such as local gradients and height differences can be detected by uniform image filtering. The method can be used with a Web-based data visualization tool in a geographical information system, permitting first-person views of the ground and accurate geolocation of the barriers on the map. Findings The findings of this study showed that capturing the road surface with a small wide-angle camera while walking is sufficient for recording subtle 3D undulations in the road surface. The method used for capturing data and the precision of the 3D restoration results are described. Originality/value The proposed approach demonstrates the significant benefits of creating a digital twin of walking space using photogrammetry as a cost-effective means of balancing the acquisition of 3D data that is sufficiently accurate to show the detailed geometric features needed to navigate a walking space safely. Further, the findings showed how information can be provided directly to users through two-dimensional (2D) and 3D Web-based visualizations.

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“…These possibilities come with obstacles and necessitate the development of new enabling technologies, such as domain-specific hardware and software tools tailored to the needs and restrictions of the construction industry [54]. The use of the technologies could be conditioned to meteorological conditions [55]. In the case of the use of UAVs and image capture, recreational and semi-professional drones may not be prepared to withstand rain, for example.…”

Section: Cyber-physical Systemsmentioning

confidence: 99%

“…In the case of the use of UAVs and image capture, recreational and semi-professional drones may not be prepared to withstand rain, for example. Additionally, light conditions on a sunny or cloudy day may affect the quality of the images, so it is necessary to consider weather conditions when planning flights [55][56][57].…”

Section: Cyber-physical Systemsmentioning

confidence: 99%

Interoperability of Digital Tools for the Monitoring and Control of Construction Projects

et al. 2021

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Monitoring the progress on a construction site during the construction phase is crucial. An inadequate understanding of the project status can lead to mistakes and inappropriate actions, causing delays and increased costs. Monitoring and controlling projects via digital tools would reduce the risk of error and enable timely corrective actions. Although there is currently a wide range of technologies for these purposes, these technologies and interoperability between them are still limited. Because of this, it is important to know the possibilities of integration and interoperability regarding their implementation. This article presents a bibliographic synthesis and interpretation of 30 nonconventional digital tools for monitoring progress in terms of field data capture technologies (FDCT) and communication and collaborative technologies (CT) that are responsible for information processing and management. This research aims to perform an integration and interoperability analysis of technologies to demonstrate their potential for monitoring and controlling construction projects during the execution phase. A network analysis was conducted, and the results suggest that the triad formed by building information modeling (BIM), unmanned aerial vehicles (UAVs) and photogrammetry is an effective tool; the use of this set extends not only to monitoring and control, but also to all phases of a project.

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Use of Unmanned Aerial Vehicles (UAVs) and Photogrammetry to Obtain the International Roughness Index (IRI) on Roads

Cited by 20 publications

References 30 publications

Comparison of Smartphone-Based and Drone-Based Approaches for Assessing Road Roughness

Comparison of Smartphone-Based and Drone-Based Approaches for Assessing Road Roughness

Quantitative visualization of physical barriers for vulnerable pedestrians based on photogrammetry

Interoperability of Digital Tools for the Monitoring and Control of Construction Projects

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