Road Condition Reporting
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2015-01-01
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Abstract:This report documents the findings of the road condition reporting project where the feasibility of live reporting of the road conditions with an Android camera and computer vision algorithms was tested. An app was developed that can collect videos or images and tag them with GPS and other information. During the 2013/14 snow season the system was mounted on two snow plows and data from several snow events was collected. With this data a computer vision algorithm was developed and tested that is able to detect the percentages of snow, slush or normal road in the images. From these percentages the road condition can be calculated. Overall this project demonstrated that it is feasible to develop a road condition monitoring system.
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