prikaz prve stranice dokumenta Orthographic photogrammetry method for pavement texture characterization
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Orthographic photogrammetry method for pavement texture characterization
U: Proceedings of the 7th International Conference on Road and Rail Infrastructures CETRA 2022. Zagreb: Građevinski fakultet Sveučilišta u Zagrebu, 2022. str. 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. i Cuculić, M. (2022). Orthographic photogrammetry method for pavement texture characterization. Proceedings of the 7th International Conference on Road and Rail Infrastructures CETRA 2022 (str. 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, str. 325-332. https://urn.nsk.hr/urn:nbn:hr:157:926296

Ban, Ivana, Aleksandra Deluka Tibljaš i Marijana Cuculić. "Orthographic photogrammetry method for pavement texture characterization." U Proceedings of the 7th International Conference on Road and Rail Infrastructures CETRA 2022, 325-332. Zagreb: Građevinski fakultet Sveučilišta u Zagrebu, 2022. Citirano 20.04.2025.. https://urn.nsk.hr/urn:nbn:hr:157:926296

Ban, I., Deluka Tibljaš, A. i 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, str. 325-332. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:157:926296 (Datum pristupa: 20.04.2025.)

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. Str. 325-332. [pristupljeno 20.04.2025.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:157:926296

I. Ban, A. Deluka Tibljaš i 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] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:157:926296 [Citirano: 20.04.2025.]

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Podaci o radu
Naslov (engleski)Orthographic photogrammetry method for pavement texture characterization
AutorIvana Ban
AutorAleksandra Deluka Tibljaš
AutorMarijana Cuculić
Autorova ustanovaSveučilište u Rijeci
Građevinski fakultet
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Građevinarstvo
Sažetak (engleski)
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.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov zbornikaProceedings of the 7th International Conference on Road and Rail Infrastructures CETRA 2022
Brojčani podacistr. 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
Datum objave publikacije2022
SkupNaziv: 7th International Conference on Road and Rail Infrastructure
Kratica: CETRA 2022
Lokacija: Pula, Hrvatska
Datum početka: 2022-05-11
Datum završetka: 2022-05-13
Vrsta izlaganja: Predavanje
URL dokumentahttps://cetra.grad.hr/ocs/index.php/cetra7/cetra2022/paper/view/1441
URL dokumentahttps://cetra.grad.hr/ocs/index.php/cetra7/cetra2022/paper/viewFile/1441/1040
Vrsta resursaTekst
IzdavačGrađevinski fakultet Sveučilišta u Zagrebu
Mjesto izdavanjaZagreb
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2025-04-17 13:49:13