arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2412.13119cs.MMcs.ETcs.RO

无人机群的飞行模式

Flight Patterns for Swarms of Drones

University of Southern California(南加州大学)

Shuqin Zhu, Shahram Ghandeharizadeh

AI总结:

本文提出无人机群通过狭窄开口的无碰撞飞行模式,通过队列调度匹配基础设施处理速率,防止碰撞并支持多种通行策略,并用3D光源展示验证。

摘要:

我们提出了无人机群通过一个或多个开口进行无碰撞通行的飞行模式。狭窄的开口为无人机提供了进入基础设施组件(如充电站)以给耗尽电池充电以及机库进行存储的通道。这些飞行模式是一个调度区域(队列),其匹配基础设施组件及其开口处理无人机的速率。它们防止碰撞,并可以实现不同的策略来控制无人机通过开口的顺序。我们通过一个3D展示来演示这些飞行模式,该展示使用配置有光源的无人机来照亮形状。

英文摘要:

We present flight patterns for a collision-free passage of swarms of drones through one or more openings. The narrow openings provide drones with access to an infrastructure component such as charging stations to charge their depleted batteries and hangars for storage. The flight patterns are a staging area (queues) that match the rate at which an infrastructure component and its openings process drones. They prevent collisions and may implement different policies that control the order in which drones pass through an opening. We illustrate the flight patterns with a 3D display that uses drones configured with light sources to illuminate shapes.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑