Abstract
Early detection and measurement of the distresses are necessary to keep the pavement functions at an acceptable level and to pledge the safety users. The use of digital photography in order to record pavement images and, later, to identify the surface distresses has undergone continuous improvements during recent years. Image measurement methods are effortless, safe, and can be performed in a short time. In this paper, an image processing measurement is presented to locate potholes and cracks on the pavement surface through pictures by drone.
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References
Gulden, W., Brown, D.: Overlays for Plain Jointed Concrete Pavements. Research Project No. 7502. Georgia Department of Transportation, Forest Park, GA (1984)
Vyce, J.M.: Reflection Cracking in Bituminous Overlays on Rigid Pavements. Report No. 109. New York State Department of Transportation, New York (1983)
Kim, J., Buttlar, W.G.: Analysis of reflective crack control system involving reinforcing grid over base-isolating interlayer mixture. J. Transp. Eng. 128, 375–384 (2002)
Mirzahosseini, M., Aghaeifar, A., Alavi, A., Gandomi, A., Seyednour, R.: Permanent deformation analysis of asphalt mixtures using soft computing techniques. Expert Syst. Appl. 38, 6081–6100 (2011)
Buonsanti, M., Leonardi, G.: A finite element model to evaluate airport flexible pavements response under impact. Appl. Mech. Mater. 138–139, 257–262 (2012)
Buonsanti, M., Leonardi, G., Scopelliti, F.: Modelling micro-damage in granular solids. Key Eng. Mater. 525–526, 497–500 (2013)
Garba, R.: Permanent deformation properties of asphalt concrete mixtures. Norwegian University of Science and Technology (2002)
Shenoy, A., Romero, P.: Standardized procedure for analysis of dynamic modulus |E*| data to predict asphalt pavement distresses. Transp. Res. Rec.: J. Transp. Res. Board 1789, 173–182 (2002)
Zheng, Q., Zhao, D., Chen, C., Song, Z., Zheng, S.: Quantitative test technology study on the mesoscopic strength parameters of the mineral aggregate contact surface of bituminous stabilized macadam. Constr. Build. Mater. 94, 622–631 (2013)
Miller, J.S., Bellinger, W.Y.: Distress identification manual for the long-term pavement performance program. Report No. FHWA-RD-03-031, Federal Highway Administration, Washington, D.C., USA (2003)
Roberts, F.L., et al.: Hot Mix Asphalt Materials, Mixture Design and Construction, 2nd edn. NAPA Education Foundation, Lanham (1996)
Yang, Y., Qian, Z., Song, X.: A pothole patching material for epoxy asphalt pavement on steel bridges: fatigue test and numerical analysis. Constr. Build. Mater. 94, 299–305 (2015)
Archilla, A., Diaz, L.: Effects of asphalt mixture properties on permanent deformation response. Transp. Res. Rec.: J. Transp. Res. Board 2210, 1–8 (2011)
Wolters, A., Zimmerman, K., Schattler, K., Rietgraf, A.: Implementing pavement management systems for local agencies. Illinois Center for Transportation (2011)
Stevens, L.B.: Road Surface Management for Local Governments - Resource Notebook. Publication No. DOT - I-85-37. Federal Highway Administration, Washington, D.C. (1985)
Peterson, D.E.: National cooperative highway research program synthesis of highway practice 135. In: Pavement Management Practices, NCHRP, TRB, National Research Council, Washington, D.C. (1987)
Ouyang, A., Luo, C., Zhou, C.: Surface distresses detection of pavement based on digital image processing. In: 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Nanchang, China, October 2010. Advances in Information and Communication Technology, AICT-347, Part IV. IFIP, pp. 368–375. Springer (2011)
Chan, P., Soetandio, C., Lytton, R.L.: Distress identification by an automatic thresholding technique. In: 1st International Conference on Application of Advanced Technologies in Transportation Engineer, San Diego, California (1989)
Lin, J., Liu, Y.: Potholes detection based on SVM in the pavement distress image. In: 9th International Symposium on Distributed Computing and Applications to Business, pp. 544–547. Engineering and Science, DCABES (2010)
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Leonardi, G., Barrile, V., Palamara, R., Suraci, F., Candela, G. (2019). Road Degradation Survey Through Images by Drone. In: Calabrò, F., Della Spina, L., Bevilacqua, C. (eds) New Metropolitan Perspectives. ISHT 2018. Smart Innovation, Systems and Technologies, vol 101. Springer, Cham. https://doi.org/10.1007/978-3-319-92102-0_24
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DOI: https://doi.org/10.1007/978-3-319-92102-0_24
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