Carnegie Mellon University has developed a system that can inspect roads much more efficiently than current methods. It uses a smartphone mounted on the windshield of a vehicle to collect videos or images of the road together with GPS and other information. The videos or images are then analyzed with computer vision algorithms to detect cracks and other road damage. More details about it can be found in the attached project plan. In this project we want to pilot test the system in the City of Pittsburgh. We want to install the smartphones on City vehicles and integrate the system into the road inspection work flow. We anticipate that it will make road inspection more efficient, i.e. it will give a more timely, comprehensive and objective assessment of the city roads. This will help the City to better plan maintenance of its roads.
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January 1, 2016 to January 1, 2017
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Name | Affiliation | Role | Position | |
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cmertz@andrew.cmu.edu | Mertz, Christoph | PennDOT | PI | Faculty - Tenured |
Type | Name | Uploaded |
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Final Report | 127_-_Monitoring_Roads_and_other_Infrastructures_127_final.pdf | July 9, 2018, 11:04 a.m. |
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