Heterogeneous Ground-Air Autonomous Vehicle Networking in Austere Environments: Practical Implementation of a Mesh Network in the DARPA Subterranean Challenge

Harel Biggie, Steve McGuire
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引用次数: 4

Abstract

Implementing a wireless mesh network in a real-life scenario requires a significant systems engineering effort to turn a network concept into a complete system. This paper presents an evaluation of a fielded system within the DARPA Subterranean (SubT) Challenge Final Event that contributed to a 3rd place finish. Our system included a team of air and ground robots, deployable mesh extender nodes, and a human operator base station. This paper presents a real-world evaluation of a stack optimized for air and ground robotic exploration in a RF-limited environment under practical system design limitations. Our highly customizable solution utilizes a minimum of non-free components with form factor options suited for UAV operations and provides insight into network operations at all levels. We present performance metrics based on our performance in the Final Event of the DARPA Subterranean Challenge, demonstrating the practical successes and limitations of our approach, as well as a set of lessons learned and suggestions for future improvements.
恶劣环境下的异构地空自动驾驶汽车网络:DARPA地下挑战赛中网状网络的实际实现
在现实生活场景中实现无线网状网络需要大量的系统工程工作来将网络概念转化为完整的系统。本文介绍了DARPA地下(SubT)挑战赛决赛项目中一个现场系统的评估,该系统获得了第三名。我们的系统包括一个空中和地面机器人团队,可部署的网格扩展节点和一个人工操作员基站。本文在实际系统设计限制下,对射频受限环境下的空中和地面机器人勘探优化的堆栈进行了实际评估。我们高度可定制的解决方案利用了最少的非自由组件,具有适合无人机操作的外形因素选项,并提供了对各级网络操作的洞察。我们根据我们在DARPA地下挑战赛决赛中的表现提出了性能指标,展示了我们方法的实际成功和局限性,以及一系列经验教训和对未来改进的建议。
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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