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Efficient and QoS-Aware Drone Coordination for Simultaneous Environment Coverage

机译:高效且具有QoS意识的无人机协调功能,可同时覆盖环境

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Simultaneous coverage represents an important problem for various drone applications where objects must be covered by simultaneously captured images from different viewpoints that may impose additional requirements on geometry, resolution, and depth error. In order to solve simultaneous coverage, the drones must plan their movements such that the required viewpoints are concurrently reached while minimizing the overall mission time and satisfying the quality requirements. In this paper, we introduce a market-based and QoS-aware coordination method for assigning drones to viewpoints during the mission. In our simulation study, we compare three algorithm variants based on the achieved mission time and the required communication effort.
机译:对于各种无人机应用而言,同时覆盖是一个重要的问题,在该应用中,必须同时捕获来自不同视点的图像来覆盖对象,这可能会对几何形状,分辨率和深度误差提出额外要求。为了解决同时覆盖问题,无人机必须计划其运动,以便在最小化总体任务时间并满足质量要求的同时达到所需的视点。在本文中,我们介绍了一种基于市场且具有QoS意识的协调方法,用于在任务期间将无人机分配给视点。在我们的仿真研究中,我们根据获得的任务时间和所需的通信努力来比较三种算法变体。

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