1 CITY-WIDE ROAD DISTRESS MONITORING WITH SMARTPHONES

In this paper we present a smartphone-based system that can assess road damage by determining the amount of cracks in the road. The smartphone can be mounted in vehicles like personal cars, buses and garbage trucks that travel the roads on a regular basis. It collects images and tags them with GPS and other information, which is then either displayed to inspectors or automatically analyzed to give a road distress score. With this system the whole street network of a city can be continuously monitored at a much lower initial and operating cost than traditional methods. A pilot test of this system is on its way in the City of Pittsburgh and first results are shown.

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

[2]  Yozo Fujino,et al.  Road condition evaluation using the vibration response of ordinary vehicles and synchronously recorded movies , 2013, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[3]  Paulo Lobato Correia,et al.  Automatic road crack segmentation using entropy and image dynamic thresholding , 2009, 2009 17th European Signal Processing Conference.

[4]  Alexei A. Efros,et al.  Geometric context from a single image , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[5]  Paulo Lobato Correia,et al.  Automatic Road Crack Detection and Characterization , 2013, IEEE Transactions on Intelligent Transportation Systems.

[6]  Christoph Mertz,et al.  Vision for road inspection , 2014, IEEE Winter Conference on Applications of Computer Vision.

[7]  Manuel Avila,et al.  Free-form anisotropy: A new method for crack detection on pavement surface images , 2011, 2011 18th IEEE International Conference on Image Processing.