Photogrammetric Techniques for Road Surface Analysis

Knyaz, V. A.; Чибуничев, А. Г.

doi:10.5194/isprs-archives-xli-b5-515-2016

Cited by 17 publications

(4 citation statements)

References 5 publications

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“…The methodology exploited for the digitalization of the geometry of larger scale problems was modified and adjusted to be applicable to a small-scale problem analyzed in this research. A similar methodology was used for road surface reconstruction and analysis in terms of structural behavior and road surface defects detection on roads in use [48]. In this research, pavement texture data were collected by two different photometric methods in order to test their applicability for generating the digital model of the pavement surface.…”

Section: D Texture Model Generation By Image Analysis Methodsmentioning

confidence: 99%

Pavement Texture–Friction Relationship Establishment via Image Analysis Methods

Pranjić

Deluka-Tibljaš

2022

Materials

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Pavement surface texture is one of the prevailing factors for friction realization on pavement surfaces. In this paper, an overview of pavement texture properties related to the pavement frictional response is given. Image analysis methods used for pavement texture characterization are thoroughly analyzed together with their potential for the establishment of a pavement texture–friction relationship. Digital pavement surface models derived from photogrammetry or laser scanning methods enable the extraction of texture parameters comparable to the ones acquired by common pavement surface measuring techniques. This paper shows the results of a preliminary small-scale research study of the pavement texture–friction relationship. This research was performed in a laboratory which produced asphalt samples, primarily to analyze the potential of developing a methodology for the digital pavement texture model setup. Furthermore, the relationship between selected 2D texture parameters calculated from the digital texture model and measured friction coefficient expressed as SRT value was analyzed. A significant correlation was established for standard texture indicator mean profile depth (MPD) and SRT values (R = 0.81). Other texture parameters showed moderate correlation with the frictional response of the surface, with absolute values of correlation coefficients varying from 0.7 to 0.75. A further analysis of this relationship will be performed by inclusion of other texture parameters that can be determined from the digital texture model acquired by the established methodology.

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Section: D Texture Model Generation By Image Analysis Methodsmentioning

confidence: 99%

Pavement Texture–Friction Relationship Establishment via Image Analysis Methods

Pranjić

Deluka-Tibljaš

2022

Materials

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“…Moreover, UAVs are able to generate detailed 3D reconstruction models of road surface, to determine successful the road conditions as well as to assess immediately the road degradation [123][124][125]. Innovative soft computing algorithms and soft computing have been applied to UAV imagery to effectively predict road cracks and understand the current damage status of transportation networks [126,127].…”

Section: Uavmentioning

confidence: 99%

Review of Remote Sensing Approaches and Soft Computing for Infrastructure Monitoring

et al. 2023

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During the past few decades, remote sensing has been established as an innovative, effective and cost-efficient option for the provision of high-quality information concerning infrastructure to governments or decision makers in order to update their plans and/or take actions towards the mitigation of the infrastructure risk. Meanwhile, climate change has emerged as a serious global challenge and hence there is an urgent need to develop reliable and cost-efficient infrastructure monitoring solutions. In this framework, the current study conducts a comprehensive review concerning the use of different remote-sensing sensors for the monitoring of multiple types of infrastructure including roads and railways, dams, bridges, archaeological sites and buildings. The aim of this contribution is to identify the best practices and processing methodologies for the comprehensive monitoring of critical national infrastructure falling under the research project named “PROION”. In light of this, the review summarizes the wide variety of approaches that have been utilized for the monitoring of infrastructure and are based on the collection of remote-sensing data, acquired using the global navigation satellite system (GNSS), synthetic aperture radar (SAR), light detection and ranging (LiDAR) and unmanned aerial vehicles (UAV) sensors. Moreover, great emphasis is given to the contribution of the state-of-the-art soft computing methods throughout infrastructure monitoring aiming to increase the automation of the procedure. The statistical analysis of the reviewing publications revealed that SARs and LiDARs are the prevalent remote-sensing sensors used in infrastructure monitoring concepts, while regarding the type of infrastructure, research is orientated onto transportation networks (road and railway) and bridges. Added to this, deep learning-, fuzzy logic- and expert-based approaches have gained ground in the field of infrastructure monitoring over the past few years.

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“…The scanned front surface of the teeth is then used as a credentials surface for jaw 3D models translating into comparable real jaws occlusion. [1,8,9] • Occlusal contacts: The conventional 2D-analysis methods have various limitations regarding the details about tooth morphology required for analysis of occlusal contacts. Photogrammetry governs 3D positional details of occlusal contacts from 2D-photos.…”

Section: IIImentioning

confidence: 99%

Photogrammetry in Prosthodontics - A Review

et al. 2023

IJFMR

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Purpose: To ascertain the clinical benefits of photogrammetry and its various applications in prosthodontics. Dentistry is a field which has a need for precise information about teeth shape, their relative position and their appearance in the face. Conventionally models are used to analyze the arch position and occlusion, and these existing means do not provide adequate presentation. Photogrammetric approach gives solutions for all all-described problems with appropriate accuracy of measurements and high quality data for investigation, documentation and presentation. Data identification: databases such as Pubmed/ Medline, Google Scholar, Index, EBSCO, Directory of Open Access Journals (DOAJ), SCOPUS, Primo Central Index focusing on photogrammetry and its application in prosthodontics. Articles were selected which would address the stated purpose specifically applications in prosthodontics. Conclusion: The photogrammetric method of images accretion has been used in various fields of science and industry since long. Its advantages include the simplicity and affordability of technical execution, high accuracy of the obtained data, complete contactless application and the chances for the digital processing of an enormous amount of information over a short period of time, accretion of a virtual model of high accuracy.

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Photogrammetric Techniques for Road Surface Analysis

Cited by 17 publications

References 5 publications

Pavement Texture–Friction Relationship Establishment via Image Analysis Methods

Pavement Texture–Friction Relationship Establishment via Image Analysis Methods

Review of Remote Sensing Approaches and Soft Computing for Infrastructure Monitoring

Photogrammetry in Prosthodontics - A Review

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