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Real-time retasking of multiple coordinated assets

机译:多次协调资产的实时重新调整

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The Intelligent Tasker was developed to provide dynamic retasking of autonomous coordinated aerial assets to accommodate ???pop-up??? points of interest and the loss of a team member during a coordinated mission. The system was implemented in MATLAB and can be integrated with various ground stations. The user interface and backend GA Optimizer make planning and executing an optimized coordinated mission straightforward and uncomplicated for the user. The software allows for the original tasking of multiple assets and then the retasking of assets in real-time during flight, if need arises. This work is applied to small fixed wing UAVs, but could easily be applied to other types of aerial, terrestrial, or even aquatic vehicles. This paper presents results that extend previous work using genetic algorithms to efficiently task multiple small fixed wing unmanned aerial vehicles in order to gather information from multiple sites in an optimized way.
机译:开发了智能任务者,以提供自动协调的空中资产的动态重新阵列,以适应???弹出???在协调任务期间,兴趣点和团队成员的损失。该系统在MATLAB中实施,可以与各种地站整合。用户界面和后端GA Optimizer会使规划和执行优化的协调任务直接和对用户并不复杂。该软件允许多个资产的原始任务,然后在飞行期间实时重新调整资产,如果需要。这项工作适用于小型固定翼无人机,但很容易应用于其他类型的空中,陆地,甚至水生动车。本文提出了使用遗传算法延伸以前的工作的结果,以有效地任务,以便以优化的方式从多个站点收集来自多个站点的信息。

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