-Akgul, M., H. Yurtseven, S. Akburak, M. Demir, H. K. Cigizoglu, T. Ozturk, M. Eksi and A. O. Akay (2017). "Short term monitoring of forest road pavement degradation using terrestrial laser scanning." Measurement 103, pp.283-293.
-Bitelli, G., A. Simone, F. Girardi and C. Lantieri (2012), "Laser scanning on road pavements: a new approach for characterizing surface texture." Sensors NO.12(7), pp.9110-9128.
-Chang, K.-T., J. Chang and J.-K. Liu (2005), "Detection of Pavement Distresses Using 3D Laser Scanning Technology".
-Chen, D., C. Ling, T. Wang, Q. Su and A. Ye., (2018), "Prediction of tire-pavement noise of porous asphalt mixture based on mixture surface texture level and distributions." Construction and Building Materials, No.173, pp.801-810.
-Chen, J., X. Huang, B. Zheng, R. Zhao, X. Liu, Q. Cao and S. Zhu., (2019), "Real-time identification system of asphalt pavement texture based on the close-range photogrammetry,
"Construction and Building Materials, 226, pp.910-919.
-Di Mascio, P. and L. Moretti, (2019), "Implementation of a pavement management system for maintenance and rehabilitation of airport surfaces." Case Studies in Construction Materials, e.20015.
-Fukuhara, T., K. Terada, M. Nagao, A. Kasahara and S. Ichihashi, (1990), "Automatic pavement-distress-survey system." Journal of Transportation Engineering, pp.280-286.
-Gong, H., Y. Sun, Z. Mei and B. Huang, (2018), "Improving accuracy of rutting prediction for mechanistic-empirical pavement design guide with deep neural networks." Construction and Building Materials, 190, pp.710-718.
-Hoang, N.-D., (2019), "Automatic detection of asphalt pavement raveling using image texture based feature extraction and stochastic gradient descent logistic regression." Automation in Construction,
-Inzerillo, L., G. Di Mino and R. Roberts, (2018), "Image-based 3D reconstruction using traditional and UAV datasets for analysis of road pavement distress." Automation in Construction, pp.457-469.
-Jiang, C. and Y. Tsai (2015), "Enhanced Crack Segmentation Algorithm Using 3D Pavement Data." Journal of Computing in Civil Engineering 30, 04015050.
-Kertész, I., T. Lovas and A. Barsi (2008), "Photogrammetric pavement detection system", ISPRS, Citeseer.
-Laurent, J., J. F. Hébert, D. Lefebvre and Y. Savard (2012), "High-speed network level road texture evaluation using 1mm resolution transverse 3D profiling sensors using a digital sand patch model. International Conference on Maintenance and Rehabilitation of Pavements and Technological Control, 7th, (2012), Auckland, New Zealand.
-Laurent, J., D. Lefebvre and E. Samson (2008), "Development of a New 3D Transverse Laser Profiling System for the Automatic Measurement of Road Cracks."
-Li, W., J. Huyan, S. Tighe, Q.-q. Ren and Z.-y. Sun (2017), "Three-Dimensional Pavement Crack Detection Algorithm Based on Two-Dimensional Empirical Mode Decomposition." Journal of Transportation Engineering, Part B: Pavements 143004017005.
-Lin, J.-D. and M.-C. Ho, (2016), "A comprehensive analysis on the pavement condition indices of freeways and the establishment of a pavement management system." Journal of Traffic and Transportation Engineering (English Edition) 3(5), pp.456-466.
-Meegoda, J. N., S. Gao, S. Liu and N. C. Gephart (2013), "Pavement texture from high-speed laser for pavement management system." International Journal of Pavement Engineering, 14(7), pp.697-705.
-Slob, S. and H. Hack (2004), 3D Terrestrial Laser Scanning as a New Field Measurement and Monitoring Technique, 104, 179-189.
-Tsai, Y.-C. J. and F. Li, (2012), "Critical assessment of detecting asphalt pavement cracks under different lighting and low intensity contrast conditions using emerging 3D laser technology." Journal of Transportation Engineering 138, pp.649-656.
-Tsai, Y. J., C. Jiang and Z. Wang, (2012),
"Pavement Crack Detection Using High-Resolution 3D Line Laser Imaging Technology, 7th RILEM International Conference on Cracking in Pavements, Springer.
-Wang, W., X. Yan, H. Huang, X. Chu and M. Abdel-Aty, (2011), "Design and verification of a laser based device for pavement macrotexture measurement." Transportation Research Part C: Emerging Technologies, 19, pp.682-694.
-Yousaf, M. H., K. Azhar, F. Murtaza and F. Hussain (2018), "Visual analysis of asphalt pavement for detection and localization of potholes", Advanced Engineering Informatics 38, pp.527-537.
-Zhang, A., K. C. P. Wang, B. Li, E. Yang, X. Dai, Y. Peng, Y. Fei, Y. Liu, J. Q. Li and C. Chen, (2017), "Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep-Learning Network", Computer-Aided Civil and Infrastructure Engineering, 10(32), pp.805-819.
-Zhang, D., Q. Li, Y. Chen, M. Cao, L. He and B. Zhang (2017), "An efficient and reliable coarse-to-fine approach for asphalt pavement crack detection." Image and Vision Computing, 57, pp.130-147.
-Zhang, D., Q. Zou, H. Lin, X. Xu, L. He, R. Gui and Q. Li, (2018), "Automatic pavement defect detection using 3D laser profiling technology." Automation in Construction, 96, pp.350-365.