Flight test results for UAVs using boid guidance algorithms

Flight test results for UAVs using boid guidance algorithms

A critical technology for operating groups of Uninhabited Aerial Vehicles (UAVs) is distributed guidance. Distributed guidance allows an operator to command several vehicles at the same time, reduces operator workload, and adds redundancy to the system. Some of the leading software candidates for achieving distributed guidance are known as Boid Guidance Algorithms (BGAs), which are agent-based ...

Minimum - Energy Flight Paths for Uavs Using

Flight Test Bed for Visual Tracking of Small UAVs

This paper describes the development of an unmanned aerial vehicle (UAV) system, which will be used to demonstrate multiple-vehicle flight control algorithms. Planned demonstrations include vehicle coordination experiments involving autonomous air, ground, and marine vehicles. More immediately, a system of two UAVs will be used to demonstrate adaptive visual tracking algorithms. To speed develo...

Automated Test Case Selection for Flight Systems using Genetic Algorithms

Without rigorous system verification and validation (SVV), flight systems have no assurances that they will actually accomplish their objectives (e.g., the right system was built) or that the system was built to specification (e.g., the system was built correctly). As system complexity grows, exhaustive SVV becomes time and cost prohibitive as the number of interactions explodes in an exponenti...

A Scalable, Economic Autonomous Flight Control and Guidance Package for UAVs

As unmanned aerial vehicles (UAVs) rapidly evolve from remotely piloted vehicles (RPVs) to fully autonomous systems capable of performing aerial objectives and full missions without any assistance from a human operator, the need is emerging for a robust, economical, mission and flight control package which can be integrated to a variety of diversely capable airframes and platforms. At Cornell U...