Moving Target Classification and Tracking from Real-time Video
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
A genetic algorithm for the Flexible Job-shop Scheduling Problem
Computers and Operations Research
Approximate dynamic programming with applications in multi-agent systems
Approximate dynamic programming with applications in multi-agent systems
Research on computer vision-based for UAV autonomous landing on a ship
Pattern Recognition Letters
UAV Consumable Replenishment: Design Concepts for Automated Service Stations
Journal of Intelligent and Robotic Systems
Automatic Battery Replacement System for UAVs: Analysis and Design
Journal of Intelligent and Robotic Systems
On the Concerted Design and Scheduling of Multiple Resources for Persistent UAV Operations
Journal of Intelligent and Robotic Systems
Persistent UAV Service: An Improved Scheduling Formulation and Prototypes of System Components
Journal of Intelligent and Robotic Systems
Energy Management in Swarm of Unmanned Aerial Vehicles
Journal of Intelligent and Robotic Systems
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The duration of missions that can be accomplished by a system of unmanned aerial vehicles (UAVs) is limited by the battery or fuel capacity of its constituent UAVs. However, a system of UAVs that is supported by automated refueling stations may support long term or even indefinite duration missions. We develop a mixed integer linear program (MILP) model to formalize the problem of scheduling a system of UAVs and multiple shared bases in disparate geographic locations. There are mission trajectories that must be followed by at least one UAV. A UAV may hand off the mission to another in order to return to base for fuel. To address the computational complexity of the MILP formulation, we develop a genetic algorithm to find feasible solutions when a state-of-the-art solver such as CPLEX cannot. In practice, the approach allows for a long-term mission to receive uninterrupted UAV service by successively handing off the task to replacement UAVs served by geographically distributed shared bases.