DEVELOPMENT OF AN AUTOMATIC DETECTION SYSTEM FOR MEASURING PAVEMENT CRACK DEPTH ON FLORIDA ROADWAYS

The main purpose of this project was to develop an automatic system to estimate pavement crack depth on Florida roadways. The project included a review of the existing literature databases to identify technologies and methodologies that have the potential for automatic pavement crack depth measurement; laboratory and field experiments to further prove the feasibility of selected technologies; and the development of a prototype that can be used to measure pavement crack depth on Florida roadways. The project used high-accuracy laser sensors to measure the crack opening geometric including crack width, crack edge slopes, and measurable crack depth. Using the obtained data and a neural network model developed in the project, the depth of the crack was statistically estimated. Based on the evaluation results, it was found that the system developed in the project can detect pavement crack depth with a statistically reliable accuracy.

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