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Full-Text Articles in Engineering
Deep Learning Techniques For Efficient Evaluation Of Asphalt Pavement Condition, Kamel Mahdy, Ahmed Zekry, Mohamed Moussa, Ahmed Mohamed, Hassan Mahdy, Mohamed Elhabiby
Deep Learning Techniques For Efficient Evaluation Of Asphalt Pavement Condition, Kamel Mahdy, Ahmed Zekry, Mohamed Moussa, Ahmed Mohamed, Hassan Mahdy, Mohamed Elhabiby
Mansoura Engineering Journal
For the last few decades, researchers have been devising a simple and cost-effective method to evaluate pavement distresses to give decision-makers adequate feedbacks about the pavement condition of a certain road. Fortunately, with the evolution and progression of computer vision tools and techniques, good results had been achieved regarding the detection, classification, and quantification of road distress. In this paper, a new efficient process of road distress analysis using deep learning models is introduced. This new process was tested on a collected road dataset to evaluate the efficiency and speed of this low-cost road maintenance system. Promising results were obtained …
Evaluation Of The Effect Of Mls Density Level Data On Dem, Essam Ghanem, Mostafa Rabah, Fekry Ashraf
Evaluation Of The Effect Of Mls Density Level Data On Dem, Essam Ghanem, Mostafa Rabah, Fekry Ashraf
Mansoura Engineering Journal
Mobile laser scanning (MLS) systems are quickly establishing themselves as the primary source of high-quality digital elevation models (DEM). Data density is the key element that determine the quality of DEMs. Moreover, point density acts a vital role in MLS operation planning and MLS project's cost. This study's goal was to evaluate the impact of point density from MLS on creating DEMs and the accuracy of computed volume in different interpolation methods. The finding demonstrated that the DEM's quality and the volume are more impacted by density level and interpolation method. Interpolation methods are affected by point density. There is …