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首页> 外文会议>IAAI-12;Innovative applications of artificial intelligence conference;AAAI conference on artificial intelligence;Symposium on educational advances in artificial intelligence;AAAI-12;EAAI-12 >A Methodology for Deploying the Max-Sum Algorithm and a Case Study on Unmanned Aerial Vehicles
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A Methodology for Deploying the Max-Sum Algorithm and a Case Study on Unmanned Aerial Vehicles

机译：最大和算法的部署方法论及无人飞行器的案例研究

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摘要

We present a methodology for the deployment of the max-sum algorithm, a well known decentralised algorithm for coordinating autonomous agents, for problems related to situa-tional awareness. In these settings, unmanned autonomous vehicles are deployed to collect information about an unknown environment. Our methodology then helps identify the choices that need to be made to apply the algorithm to these problems. Next, we present a case study where the methodology is used to develop a system for disaster management in which a team of unmanned aerial vehicles coordinate to provide the first responders of the area of a disaster with live aerial imagery. To evaluate this system, we deploy it on two unmanned hexacopters in a variety of scenarios. Our tests show that the system performs well when confronted with the dynamism and the heterogeneity of the real world.
机译：我们提出了一种用于解决与情景意识有关的问题的方法，该方法用于部署max-sum算法，这是一种众所周知的用于协调自治代理的分散算法。在这些情况下，将部署无人驾驶自动驾驶汽车以收集有关未知环境的信息。然后，我们的方法有助于确定将算法应用于这些问题所需的选择。接下来，我们将提供一个案例研究，其中使用该方法论来开发灾害管理系统，在该系统中，一组无人驾驶飞机进行协调，以向灾区的第一响应者提供实时航空影像。为了评估该系统，我们在各种情况下将其部署在两个无人直升机上。我们的测试表明，该系统在面对现实世界的活力和异质性时表现良好。

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