292 citations · 472 across the 4 of their papers we have counts for
5 papers
The 1st Data Science for Pavements Challenge
Ashkan Behzadian, Tanner Wambui Muturi, Tianjie Zhang +13
The Data Science for Pavement Challenge (DSPC) seeks to accelerate the research and development of automated vision systems for pavement condition monitoring and evaluation by prov…
A Deep Learning Approach to Predict Hamburg Rutting Curve
Hamed Majidifard, Behnam Jahangiri, Punyaslok Rath +2
Rutting continues to be one of the principal distresses in asphalt pavements worldwide. This type of distress is caused by permanent deformation and shear failure of the asphalt mi…
Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index
Hamed Majidifard, Yaw Adu-Gyamfi, William G. Buttlar
Automated pavement distress detection via road images is still a challenging issue among pavement researchers and computer-vision community. In recent years, advancement in deep le…
Pavement Image Datasets: A New Benchmark Dataset to Classify and Densify Pavement Distresses
Hamed Majidifard, Peng Jin, Yaw Adu-Gyamfi +1
Automated pavement distresses detection using road images remains a challenging topic in the computer vision research community. Recent developments in deep learning has led to con…
Investigating Short-term and Long-term Binder Performance of High-RAP Mixtures Containing Waste Cooking Oil
Hamed Majidifard, Nader Tabatabaee, William Buttlar
The environmental and economic benefits of recycling asphalt pavements have received much attention in recent years. Because of the increase in the cost of raw materials and energy…