WolfBot: A distributed mobile sensing platform for research and education

Proceedings of the 2014 Zone 1 Conference of the American Society for Engineering Education Pub Date : 2014-04-03 DOI:10.1109/ASEEZONE1.2014.6820632

Joseph L. Betthauser, Daniel Benavides, Jeff Schornick, Neal O'Hara, Jimit S. Patel, Jeremy Cole, E. Lobaton

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引用次数: 26

Abstract

Mobile sensor networks are often composed of agents with weak processing capabilities and some means of mobility. However, recent developments in embedded systems have enabled more powerful and portable processing units capable of analyzing complex data streams in real time. Systems with such capabilities are able to perform tasks such as 3D visual localization and tracking of targets. They are also well-suited for environmental monitoring using a combination of cameras, microphones, and sensors for temperature, air-quality, and pressure. Still there are few compact platforms that combine state of the art hardware with accessible software, an open source design, and an affordable price. In this paper, we present an in-depth comparison of several mobile distributed sensor network platforms, and we introduce the WolfBot platform which offers a balance between capabilities, accessibility, cost and an open-design. Experiments analyzing its computer-vision capabilities, power consumption, and system integration are provided.

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WolfBot:一个用于研究和教育的分布式移动传感平台

移动传感器网络通常由处理能力较弱的智能体和一些移动手段组成。然而，嵌入式系统的最新发展使更强大的便携式处理单元能够实时分析复杂的数据流。具有这种能力的系统能够执行诸如3D视觉定位和目标跟踪等任务。它们也非常适合使用摄像头、麦克风和温度、空气质量和压力传感器的组合进行环境监测。然而，很少有紧凑的平台将最先进的硬件与可访问的软件、开源设计和可承受的价格结合在一起。在本文中，我们对几种移动分布式传感器网络平台进行了深入的比较，并介绍了WolfBot平台，该平台在功能，可访问性，成本和开放设计之间提供了平衡。实验分析了其计算机视觉性能、功耗和系统集成度。

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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Proceedings of the 2014 Zone 1 Conference of the American Society for Engineering Education

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