Organizational Unit:
Unmanned Aerial Vehicle Research Facility
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The Semi-Coaxial Multirotor
Efficient Approximation of Optimal High-Order Kinematic Trajectories
Longitudinal Motion Planning for Slung-Loads Using Simplified Models and Rapidly-Exploring Random Trees
Collaborative Search and Pursuit for Autonomous Helicopters
Vision-Based Optimal Landing On a Moving Platform
Development of a 500 gram Vision-based Autonomous Quadrotor Vehicle Capable of Indoor Navigation
Feasibility Study to Determine the Economic and Operational Benefits of Utilizing Unmanned Aerial Vehicles (UAVs)
Vision-Based Closed-Loop Tracking Using Micro Air Vehicles
A Monocular Vision-aided Inertial Navigation System with Improved Numerical Stability
Benchmarking of UAV Guidance Systems in Nap of the Earth (NOE) Flight