Term 231
Real-Time Cracks Detection and Severity Classification System
Project Type: Self-Initiated
Project Description
This work seeks the possibility of establishing a real-time cost-effective road defect detection and severity classification system that provides an efficient maintenance plan using mostly commercial edge devices. By using an RGB-D camera, a depth estimator, a resource-constrained processing unit supported by a GPS module, and a cloud utility in the experiments, it was shown that the system is effective and can be taken to further stages. Moreover, the maintenance plan has displayed promising results in reducing the objective function value.
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Project Team
Yaman M Shullar
COE
Ali Mohamad Alloush
ISE
Aly Ahmed Sarhan
COE
Ahmad Mhd Nayfeh
EE
Abdulrahman Fahad Alahmadi
ISETeam Coach
DR. Yasser Almoghathawi
Assistant ProfessorIndustrial & Sys. Engineering Dept.
Interdisciplinary Research Center for Smart Mobility and Logistics