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Development of a Deep Convolutional Neural Network for the Prediction of Pavement Roughness from 3D Images
Publisher: ASCE
Abstract: Current roughness prediction models require extensive input data including pavement distress, climatic, and traffic data, which may be difficult to collect. In addition, these models have geographical limitations; therefore, ...
Surface Identification of Top-Down, Bottom-Up, and Cement-Treated Reflective Cracks Using Convolutional Neural Network and Artificial Neural Networks
Publisher: ASCE
Abstract: Transportation agencies often need to differentiate between top-down and bottom-up cracking in the field to set up an effective and targeted schedule and budget for the repair of these cracks. The objective of this study ...