Image-Based Pothole Detection System for ITS Service and Road Management System

Potholes can generate damage such as flat tire and wheel damage, impact and damage of lower vehicle, vehicle collision, and major accidents. Thus, accurately and quickly detecting potholes is one of the important tasks for determining proper strategies in ITS (Intelligent Transportation System) service and road management system. Several efforts have been made for developing a technology which can automatically detect and recognize potholes. In this study, a pothole detection method based on two-dimensional (2D) images is proposed for improving the existing method and designing a pothole detection system to be applied to ITS service and road management system. For experiments, 2D road images that were collected by a survey vehicle in Korea were used and the performance of the proposed method was compared with that of the existing method for several conditions such as road, recording, and brightness. The results are promising, and the information extracted using the proposed method can be used, not only in determining the preliminary maintenance for a road management system and in taking immediate action for their repair and maintenance, but also in providing alert information of potholes to drivers as one of ITS services.

[1]  Kelvin C. P. Wang.  Challenges and Feasibility for Comprehensive Automated Survey of Pavement Conditions , 2004 .

[2]  Kelvin C. P. Wang,et al.  Experimentation of 3D Pavement Imaging through Stereovision , 2007 .

[3]  Kcp Wang.  AUTOMATED PAVEMENT DISTRESS SURVEY THROUGH STEREOVISION , 2004 .

[4]  Bill Yu,et al.  Vibration-Based System for Pavement Condition Evaluation , 2006 .

[5]  Girts Strazdins,et al.  Real time pothole detection using Android smartphones with accelerometers , 2011, 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS).

[6]  Huidrom Lokeshwor,et al.  Robust Method for Automated Segmentation of Frames with/without Distress from Road Surface Video Clips , 2014 .

[7]  E. Buza,et al.  Pothole Detection with Image Processing and Spectral Clustering , 2013 .

[8]  Etienne E. Kerre,et al.  Some New Similarity Measures for Histograms , 2004, ICVGIP.

[9]  Lalit Kumar Das,et al.  Method for Automated Assessment of Potholes, Cracks and Patches from Road Surface Video Clips , 2013 .

[10]  Khurram Kamal,et al.  Metrology and visualization of potholes using the microsoft kinect sensor , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

[11]  Ryan Newton,et al.  The pothole patrol: using a mobile sensor network for road surface monitoring , 2008, MobiSys '08.

[12]  Ezzatollah Salari,et al.  Pavement Distress Evaluation using 3D Depth Information from Stereo Vision , 2012 .

[13]  Christian Koch,et al.  Pothole detection in asphalt pavement images , 2011, Adv. Eng. Informatics.

[14]  Taehyeong Kim,et al.  System and Method for Detecting Potholes based on Video Data , 2014 .

[15]  J. K. Liu,et al.  Detection of Pavement Distresses Using 3D Laser Scanning Technology , 2005 .

[16]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[17]  J S Miller,et al.  DISTRESS IDENTIFICATION MANUAL FOR THE LONG-TERM PAVEMENT PERFORMANCE PROGRAM (FOURTH REVISED EDITION) , 2003 .

[18]  Chamath Keppitiyagama,et al.  A public transport system based sensor network for road surface condition monitoring , 2007, NSDR '07.

[19]  Christian Koch,et al.  Automated Pothole Distress Assessment Using Asphalt Pavement Video Data , 2013 .

[20]  Naim Dahnoun,et al.  An efficient algorithm for pothole detection using stereo vision , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[21]  Jin Lin,et al.  Potholes Detection Based on SVM in the Pavement Distress Image , 2010, 2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science.

[22]  Bugao Xu,et al.  A real-time 3D scanning system for pavement distortion inspection , 2009 .

[23]  D Joubert,et al.  Pothole tagging system , 2011 .

[24]  Taehyeong Kim,et al.  Review and Analysis of Pothole Detection Methods , 2014 .

[25]  Kelvin C. P. Wang,et al.  Real-Time Automated Survey System of Pavement Cracking in Parallel Environment , 2005 .

[26]  Shonil Vijay.  Low Cost – FPGA based system for pothole detection on Indian Roads , 2006 .

[27]  Mani Golparvar-Fard,et al.  Pothole Properties Measurement through Visual 2D Recognition and 3D Reconstruction , 2012 .