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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
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uav failures
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
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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.