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Mathematical Modeling and Differential Equations
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trajectory design

KAUST-CEMSE-ECE-PhD-Dissertation-Defense-Amin-Almozel

Safety-Aware Pre-Flight Trajectory Planning for Urban and Rural UAVs Under Mechanical and GPS Failure Scenarios

Amin Almozel, Ph.D. Student, Electrical and Computer Engineering
Dec 8, 12:30 - 14:30

Building 4, Level 5, Room 5209

safety planning uav failures trajectory design

This work develops a safety-aware pre-flight planning framework for UAV missions, addressing risks such as propulsion failure, GPS loss, and communication outages. It ensures drones remain within reach of safe landing sites and accounts for dense urban constraints, including no-fly zones. Using a high-fidelity simulator with real geospatial data, the framework is validated for both routine and emergency scenarios, offering a structured approach to reliable, failure-tolerant UAV trajectory planning.

Mathematical Modeling and Differential Equations (MMDE)

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