Divide and Survey: Observability Through Multi-Drone City Roadway Coverage

Huzeyfe Kocabas, Christopher Allred, Mario Harper
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引用次数: 1

Abstract

Deploying autonomous drone systems in smart cities to identify unexpected events and adapt rapidly to crises has a great potential for optimizing city operations and increasing city-wide situational awareness. This work presents an algorithmic technique, Postman Moving Voronoi Coverage (PMVC), which effectively distributes and plans coverage routes for each drone agent. PMVC divides city roadways into similarly sized subregions based on system limitations for many types of unmanned aerial vehicle (UAV). The findings describe trade-offs a city must make between drone types, number of systems, and the desired speed of city-wide road network traversal. Often, employing more low capacity drones are more cost and time effective for city coverage.
分测:多无人机城市道路覆盖的可观测性
在智慧城市中部署自主无人机系统,以识别意外事件并快速适应危机,这对于优化城市运营和提高城市范围内的态势感知具有巨大潜力。这项工作提出了一种算法技术,邮递员移动Voronoi覆盖(PMVC),它有效地分配和规划了每个无人机代理的覆盖路线。PMVC基于多种类型无人机(UAV)的系统限制,将城市道路划分为大小相似的子区域。研究结果描述了一个城市必须在无人机类型、系统数量和城市范围内道路网络穿越的预期速度之间做出权衡。通常,使用更多的低容量无人机对城市覆盖更具成本和时间效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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