A modular and reconfigurable sensing and actuation platform for smarter environments and drones: demo abstract
A modular and reconfigurable sensing and actuation platform for smarter environments and drones: demo abstract
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适用于智能环境和无人机的模块化、可重新配置的传感和驱动平台：演示摘要
DOI：
10.1145/3498361.3538667
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Jiang, Xiaofan
中科院分区：
文献类型：
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作者：
Zhao, Minghui;Liu, Yanchen;Dhupar, Avik;Hou, Kaiyuan;Xia, Stephen;Jiang, Xiaofan
近年来，传感器、执行器和智能设备的发展迅猛，使我们能够更好地感知、驱动和理解物理世界。尽管有这种增长，我们还没有实现完全智能的环境。这部分是由于大量不同的组织创建了具有专有技术和通信协议的智能设备，这些技术和协议彼此不兼容，并且需要大量的工程来整合和适应特定的应用。在这项工作中，我们提出了一个易于安装和低成本的嵌入式平台，允许用户快速配置传感器和执行器的混合物。该系统基于常用的Raspberry Pi生态系统，易于配置，并且不需要用户事先具备编程知识，因此任何人，无论背景如何，都可以使用。我们还推出了一种电池供电的无线扩展模块，适用于移动的无人机应用，而弦线供电的Raspberry Pi则不适合。通过将我们的平台集成到各种智能家居应用中，我们展示了我们的系统对实现具有灵活传感模式的无人机和创造更智能环境的影响。
There has been an immense growth in sensors, actuators, and smart devices in recent years, which enable us to better sense, actuate, and understand the physical world. Despite this growth, we have yet to achieve fully intelligent environments. This is, in part, due to the large number of different organizations creating smart devices with proprietary technologies and communication protocols that are not compatible with each other and require significant engineering to incorporate and adapt to specific applications. In this work, we present an easy-to-install and low-cost embedded platform that allows users to rapidly configure a mixture of sensors and actuators. The system is based on the commonly-used Raspberry Pi ecosystem, easily configurable, and does not require users to have prior knowledge of programming, which allows anyone, regardless of background, to use. We also introduce a battery-powered wireless extension module that is suitable for mobile drone applications, where a chord-powered Raspberry Pi is not suitable. We demonstrate the impact our system has on enabling drones with flexible sensing modalities and creating smarter environments by integrating our platform into a variety of intelligent home applications.
基于无人机的智能和自主家庭系统
DOI：
10.1145/3485730.3492881
发表时间：
2021
期刊：
Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems
影响因子：
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作者：
Xia, Stephen;Chandrasekaran, Rishikanth;Liu, Yanchen;Yang, Chenye;Rosing, Tajana Simunic;Jiang, Xiaofan
通讯作者：
Jiang, Xiaofan