累积无人机路由问题的数据集
Nikolaos A Kyriakakis1, Themistoklis Stamadianos1, Magdalene Marinaki1
1Technical University of Crete, School of Production Engineering and Management, University Campus, 73100 Chania, Greece.
Data in brief
|June 29, 2023
概括
本研究解决了区域覆盖作业的累积无人机路由问题. 它开发了一个数据生成过程,考虑无人机传感器查看窗口,距离,机队大小和目标位置,以实现现实的场景模拟.
科学领域:
- 运营研究 运营研究
- 机器人技术 机器人技术 机器人技术
- 计算机科学 计算机科学
背景情况:
- 无人机 (UAV) 越来越多地用于区域监视和覆盖.
- 有效的路由对于最大限度地提高运营效率和资源利用至关重要.
- 现有的路由问题可能无法完全捕捉现实世界无人机覆盖任务的复杂性.
研究的目的:
- 定义和解决累积无人机路由问题 (CUAVRP).
- 开发一个数据生成方法来创建现实的CUAVRP实例.
- 模拟基于无人机的区域覆盖的各种操作场景.
主要方法:
- 图形理论用于建模感兴趣的区域和覆盖要求.
- 设计了一个数据生成过程,将无人机传感器特征 (视窗,范围) 和机队大小纳入其中.
- 实例是通过不同的无人机参数和目标位置来创建的,以模拟不同的场景.
主要成果:
- 该研究建立了一个框架,用于生成多样化和现实的CUAVRP实例.
- 该方法允许模拟不同的操作条件和目标分布.
- 这有助于测试和开发用于无人机区域覆盖的算法.
结论:
- 拟议的数据生成过程有效地模拟了无人机区域覆盖操作的关键方面.
- 生成的实例适合在复杂场景中评估路由策略.
- 这项工作有助于推进高效的无人机任务规划和执行.
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