Organizational Unit:
Daniel Guggenheim School of Aerospace Engineering
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Feasibility Study to Determine the Economic and Operational Benefits of Utilizing Unmanned Aerial Vehicles (UAVs)
Visual Marker Detection In The Presence Of Colored Noise for Unmanned Aerial Vehicles
3D Obstacle Detection Using a Single Camera
A Comparison of Automatic Nap-of-the-Earth Guidance Strategies for Helicopters
Flight Test Validation of a Neural Network based Long Term Learning Adaptive Flight Controller
Development and Evaluation of an Automated Path Planning Aid
Modeling Urban Environments for Communication-Aware UAV Swarm Path Planning
Real-Time System Identification of a Small Multi-Engine Aircraft