prikaz prve stranice dokumenta Orthographic photogrammetry method for pavement texture characterization
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Scientific paper - Original scientific paper
Orthographic photogrammetry method for pavement texture characterization
In: Proceedings of the 7th International Conference on Road and Rail Infrastructures CETRA 2022. Zagreb: Građevinski fakultet Sveučilišta u Zagrebu, 2022. pp. 325-332. https://doi.org/10.5592/CO/CETRA.2022.1441
Ban, Ivana; Deluka Tibljaš, Aleksandra; Cuculić, Marijana

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Ban, I., Deluka Tibljaš, A. & Cuculić, M. (2022). Orthographic photogrammetry method for pavement texture characterization. Proceedings of the 7th International Conference on Road and Rail Infrastructures CETRA 2022 (pp. 325-332). Zagreb: Građevinski fakultet Sveučilišta u Zagrebu. doi: 10.5592/CO/CETRA.2022.1441

Ban, Ivana, et al. "Orthographic photogrammetry method for pavement texture characterization." Proceedings of the 7th International Conference on Road and Rail Infrastructures CETRA 2022, Građevinski fakultet Sveučilišta u Zagrebu, 2022, pp. 325-332. https://urn.nsk.hr/urn:nbn:hr:157:926296

Ban, Ivana, Aleksandra Deluka Tibljaš and Marijana Cuculić. "Orthographic photogrammetry method for pavement texture characterization." In Proceedings of the 7th International Conference on Road and Rail Infrastructures CETRA 2022, 325-332. Zagreb: Građevinski fakultet Sveučilišta u Zagrebu, 2022. Accessed 2025 April 20. https://urn.nsk.hr/urn:nbn:hr:157:926296

Ban, I., Deluka Tibljaš, A. and Cuculić, M. (2022) 'Orthographic photogrammetry method for pavement texture characterization', Proceedings of the 7th International Conference on Road and Rail Infrastructures CETRA 2022, Građevinski fakultet Sveučilišta u Zagrebu, Zagreb, pp. 325-332. Available at: https://urn.nsk.hr/urn:nbn:hr:157:926296 (Accessed 20 April 2025)

Ban I, Deluka Tibljaš A, Cuculić M. Orthographic photogrammetry method for pavement texture characterization. Proceedings of the 7th International Conference on Road and Rail Infrastructures CETRA 2022. Zagreb: Građevinski fakultet Sveučilišta u Zagrebu; 2022. Pp. 325-332. [cited 2025 April 20] Available at: https://urn.nsk.hr/urn:nbn:hr:157:926296

I. Ban, A. Deluka Tibljaš and M. Cuculić, "Orthographic photogrammetry method for pavement texture characterization", Proceedings of the 7th International Conference on Road and Rail Infrastructures CETRA 2022 Zagreb: Građevinski fakultet Sveučilišta u Zagrebu, 2022. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:157:926296 [Accessed: 20 April 2025]

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Metadata
Title (english)Orthographic photogrammetry method for pavement texture characterization
AuthorIvana Ban
AuthorAleksandra Deluka Tibljaš
AuthorMarijana Cuculić
Author's institutionUniversity of Rijeka
Faculty of Civil Engineering
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Civil Engineering
Abstract (english)
Image analysis methods are recently in use for asphalt pavement surface texture characterization and analysis in terms of pavement friction performance assesment. These methods enable more detailed description of texture properties at both micro and macro texture levels which are important for friction realization as they result in a digital representation of pavement surface. In comparison to the traditional methods for texture characterization which result in one characteristic texture parameter, methods that are based on digital image analysis can yield more texture parameters describing both profile and spatial characteristics of inspected surface texture. Previous application of image analysis methods for pavement texture characterization showed that pavement texture and friction relationship could be described more thoroughly by including texture parameters other than standard mean texture depth and mean profile depth derived from traditional measuring procedures. The possibility of texture data acquisition by means of digital images that can be further processed and exploited for creation of a 3D digital pavement surface model is presented in this paper. A research was performed on selected pavements in use where orthographic photogrammetry method was applied for texture data acquisition. Images were used for creation of a 3D pavement surface model defined as a dense point cloud data with XYZ coordinates. From the created 3D digital texture model, selected texture parameters were calculated and compared to the frictional performance of the pavements determined for inspected surfaces by using standard pendulum device.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Publication titleProceedings of the 7th International Conference on Road and Rail Infrastructures CETRA 2022
Numberingpp. 325-332
ISBN978-953-8168-55-0
p-ISSN1848-9842
e-ISSN1848-9850
DOIhttps://doi.org/10.5592/CO/CETRA.2022.1441
URN:NBNurn:nbn:hr:157:926296
Publication2022
ConferenceTitle: 7th International Conference on Road and Rail Infrastructure
Acronym: CETRA 2022
Location: Pula, Croatia
Start date: 2022-05-11
End date: 2022-05-13
Assembly type: Lecture
Document URLhttps://cetra.grad.hr/ocs/index.php/cetra7/cetra2022/paper/view/1441
Document URLhttps://cetra.grad.hr/ocs/index.php/cetra7/cetra2022/paper/viewFile/1441/1040
Type of resourceText
PublisherGrađevinski fakultet Sveučilišta u Zagrebu
Publishing placeZagreb
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2025-04-17 13:49:13