{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:46:12Z","timestamp":1760237172682,"version":"build-2065373602"},"reference-count":31,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2020,3,15]],"date-time":"2020-03-15T00:00:00Z","timestamp":1584230400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper presents a technique to reconstruct a three-dimensional (3D) road surface from two overlapped images for road defects detection using a downward-facing camera. Since some road defects, such as potholes, are characterized by 3D geometry, the proposed technique reconstructs road surfaces from the overlapped images prior to defect detection. The uniqueness of the proposed technique lies in the use of near-planar characteristics of road surfaces\u2018 in the 3D reconstruction process, which solves the degenerate road surface reconstruction problem. The reconstructed road surfaces thus result from the richer information. Therefore, the proposed technique detects road surface defects based on the accuracy-enhanced 3D reconstruction. Parametric studies were first performed in a simulated environment to analyze the 3D reconstruction error affected by different variables and show that the reconstruction errors caused by the camera\u2019s image noise, orientation, and vertical movement are so small that they do not affect the road defects detection. Detailed accuracy analysis then shows that the mean and standard deviation of the errors are less than     0.6     mm and 1 mm through real road surface images. Finally, on-road tests demonstrate the effectiveness of the proposed technique in identifying road defects while having over 94% in precision, accuracy, and recall rate.<\/jats:p>","DOI":"10.3390\/s20061640","type":"journal-article","created":{"date-parts":[[2020,3,18]],"date-time":"2020-03-18T08:20:44Z","timestamp":1584519644000},"page":"1640","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Degenerate Near-Planar 3D Reconstruction from Two Overlapped Images for Road Defects Detection"],"prefix":"10.3390","volume":"20","author":[{"given":"Yazhe","family":"Hu","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24060, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomonari","family":"Furukawa","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22903, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,3,15]]},"reference":[{"key":"ref_1","unstructured":"(1997, April 30). Mechanical Vibration and Shock-Evaluation of Human Exposure to Whole-Body Vibration-Part 1: General Requirements. Available online: https:\/\/www.iso.org\/standard\/76369.html."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3141\/1699-01","article-title":"Incorporating road safety into pavement management","volume":"1699","author":"Tighe","year":"2000","journal-title":"Transp. Res. Rec. J. Transp. Res. Board"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"013017","DOI":"10.1117\/1.2177650","article-title":"Automatic inspection of pavement cracking distress","volume":"15","author":"Huang","year":"2006","journal-title":"J. Electron. Imaging"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"4327","DOI":"10.1364\/AO.44.004327","article-title":"Spectral characteristics of asphalt road aging and deterioration: Implications for remote-sensing applications","volume":"44","author":"Herold","year":"2005","journal-title":"Appl. Opt."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/S0926-9851(99)00052-X","article-title":"Road evaluation with ground penetrating radar","volume":"43","author":"Saarenketo","year":"2000","journal-title":"J. Appl. Geophys."},{"key":"ref_6","unstructured":"Bursanescu, L., and Blais, F. (1997, January 12\u201315). Automated pavement distress data collection and analysis: A 3-D approach. Proceedings of International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134), Ottawa, ON, Canada."},{"key":"ref_7","unstructured":"Kil, D.H., and Shin, F.B. (1997, January 26\u201329). Automatic road-distress classification and identification using a combination of hierarchical classifiers and expert systems-subimage and object processing. Proceedings of the International Conference on Image Processing, Santa Barbara, CA, USA."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1061\/(ASCE)0733-947X(1990)116:3(280)","article-title":"Automatic pavement-distress-survey system","volume":"116","author":"Fukuhara","year":"1990","journal-title":"J. Transp. Eng."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Yu, B.X., and Yu, X. (2006). Vibration-based system for pavement condition evaluation. Appl. Adv.Tech. Trans., 183\u2013189.","DOI":"10.1061\/40799(213)31"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.sbspro.2014.01.057","article-title":"Automated sensing system for monitoring of road surface quality by mobile devices","volume":"111","author":"Vittorio","year":"2014","journal-title":"Procedia Soc. Behav. Sci."},{"key":"ref_11","unstructured":"Tai, Y.C., Chan, C.W., and Hsu, J.Y.j. (2010, January 25\u201327). Automatic road anomaly detection using smart mobile device. Proceedings of the conference on technologies and applications of artificial intelligence, Hsinchu, Taiwan."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Eriksson, J., Girod, L., Hull, B., Newton, R., Madden, S., and Balakrishnan, H. (2008, January 17\u201320). The pothole patrol: Using a mobile sensor network for road surface monitoring. Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services (ACM), Breckenridge, CO, USA.","DOI":"10.1145\/1378600.1378605"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1408","DOI":"10.1109\/TMC.2016.2597839","article-title":"Pothole in the dark: Perceiving pothole profiles with participatory urban vehicles","volume":"16","author":"Xue","year":"2017","journal-title":"IEEE Trans. Mob. Comput."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Mednis, A., Strazdins, G., Zviedris, R., Kanonirs, G., and Selavo, L. (2011, January 27\u201329). Real time pothole detection using android smartphones with accelerometers. Proceedings of the 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS), Barcelona, Spain.","DOI":"10.1109\/DCOSS.2011.5982206"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.aei.2016.12.004","article-title":"A real-time automatic pavement crack and pothole recognition system for mobile Android-based devices","volume":"32","author":"Tedeschi","year":"2017","journal-title":"Adv. Eng. Inf."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1016\/j.aei.2011.01.002","article-title":"Pothole detection in asphalt pavement images","volume":"25","author":"Koch","year":"2011","journal-title":"Adv. Eng. Inf."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1061\/(ASCE)CP.1943-5487.0000232","article-title":"Automated pothole distress assessment using asphalt pavement video data","volume":"27","author":"Koch","year":"2012","journal-title":"J. Comput. Civil Eng."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"29316","DOI":"10.3390\/s151129316","article-title":"Pothole detection system using a black-box camera","volume":"15","author":"Jo","year":"2015","journal-title":"Sensors"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1007\/s13042-015-0471-1","article-title":"Hybrid ABC-ANN for pavement surface distress detection and classification","volume":"8","author":"Banharnsakun","year":"2017","journal-title":"Inter. J. Mach. Learn. Cybern."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Ryu, S.K., Kim, T., and Kim, Y.R. (2015). Image-based pothole detection system for ITS service and road management system. Math. Prob. Eng., 2015.","DOI":"10.1155\/2015\/968361"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Chang, K., Chang, J., and Liu, J. (2005). Detection of pavement distresses using 3D laser scanning technology. J. Comput. Civ. Eng., 1\u201311.","DOI":"10.1061\/40794(179)103"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"808","DOI":"10.1016\/j.optlaseng.2006.12.007","article-title":"3D reconstruction of road surfaces using an integrated multi-sensory approach","volume":"45","author":"Yu","year":"2007","journal-title":"Opt. Lasers Eng."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Yu, X., and Salari, E. (2011, January 15\u201317). Pavement pothole detection and severity measurement using laser imaging. Proceedings of the 2011 IEEE International Conference on Electro\/Information Technology, Mankato, MN, USA.","DOI":"10.1109\/EIT.2011.5978573"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Hou, Z., Wang, K.C., and Gong, W. (2007, January 22\u201324). Experimentation of 3D pavement imaging through stereovision. Proceedings of the International Conference on Transportation Engineering 2007, Chengdu, China.","DOI":"10.1061\/40932(246)62"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1109\/TIP.2019.2933750","article-title":"Pothole detection based on disparity transformation and road surface modeling","volume":"29","author":"Fan","year":"2019","journal-title":"IEEE Trans. Image Process."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1080\/10298436.2010.546858","article-title":"Stereo-vision applications to reconstruct the 3D texture of pavement surface","volume":"12","author":"Shalaby","year":"2011","journal-title":"Int. J. Pavement Eng."},{"key":"ref_27","first-page":"1301","article-title":"Toward low-cost 3D automatic pavement distress surveying: The close range photogrammetry approach","volume":"38","author":"Ahmed","year":"2011","journal-title":"Can. J. Civ. Eng."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Antol, S., Ryu, K., and Furukawa, T. (2013, January 4\u20137). A New Approach for Measuring Terrain Profiles. Proceedings of the ASME 2013 International Design Engineering Technical Conferences And Computers and Information in Engineering Conference, Portland, OR, USA.","DOI":"10.1115\/DETC2013-13136"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Moazzam, I., Kamal, K., Mathavan, S., Usman, S., and Rahman, M. (2013, January 6\u20139). Metrology and visualization of potholes using the microsoft kinect sensor. Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), The Hague, The Netherlands.","DOI":"10.1109\/ITSC.2013.6728408"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Hartley, R., and Zisserman, A. (2003). Multiple View Geometry in Computer Vision, Cambridge University Press.","DOI":"10.1017\/CBO9780511811685"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"301","DOI":"10.4271\/2017-01-0082","article-title":"A High-Resolution Surface Image Capture and Mapping System for Public Roads","volume":"10","author":"Hu","year":"2017","journal-title":"SAE Int. J. Passenger Cars Electron. Electr. 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