Term 251

Drone Based System for Pavement Inspection

Project Type: Self-Initiated

Project Description

The Drone-Based Pavement Condition Monitoring System is designed to detect and localize pavement defects accurately and efficiently using a quadcopter equipped with a variety of sensors and a built-in camera. The system focuses on collecting and analyzing sensor data to assess pavement conditions in real time, while the camera supports visual documentation and verification of the monitored areas. This approach ensures efficient, reliable, and comprehensive pavement inspection with minimal human intervention. The interdisciplinary UAS platform successfully achieved all safety and performance standards for automated inspection. This validated system reliably converts raw pavement data into optimized maintenance routes, establishing a robust and efficient solution for modern runway management.


Poster not available


Project Team

Khaled Khabrany
Khaled Khabrany
Industrial & Systems Engg.
Ibrahim Batook
Ibrahim Batook
Applied Electrical Engineering
Ahmed Badreiq
Ahmed Badreiq
Industrial & Systems Engg.
Nawaf Aljohani
Nawaf Aljohani
Aerospace Engineering

Team Coach

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Dr. Hassan Ali Abid
Assistant Professor

Aerospace Engineering Dept.

Department of Aerospace Engineering