Search Results for author:
Found 3 papers, 0 papers with code
A Deep Learning Approach to Predict Hamburg Rutting Curve
Rut depth, as one of the outputs of the HWTT, is dependent on a number of parameters related to mix design and testing conditions.
Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index
Afterward, YOLO (you look only once) deep learning framework was implemented to train the model using the labeled dataset.
Pavement Image Datasets: A New Benchmark Dataset to Classify and Densify Pavement Distresses
Automated pavement distresses detection using road images remains a challenging topic in the computer vision research community.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
