Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications

Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications Pub Date : 2017-06-23 DOI:10.1145/3086439

L. Mottola, Richard Han

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引用次数: 1

Abstract

We are excited to welcome you to the 2017 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (DroNet 2017). This workshop brings together researchers and practitioners to discuss exciting new research concerning airborne robotic vehicles, often called "drones". While traditional mobile systems respond to device mobility (such as smartphones), drones allow computer systems to actively control device location, allowing them to interact with the physical world in new ways and with new-found scale, efficiency, or precision. The startup cost to experiment with and build real drone applications has dropped dramatically in recent years, also thanks to technological developments driven by the smartphone industry and the rise of the "makers" and DIY movements. Recent popular applications employing drones are 3D-mapping, search and rescue, surveillance, farmland and construction monitoring, delivery of light-weight objects and products, and video production. We are excited to offer a program of accepted papers that includes topics such as drone security, mission support for drones, UAV swarms, network traffic analysis of a drone, cellular network capacity of aerial base stations, drone networks for virtual human teleportation, localization for drones, and identifying mosquito breeding via drone images. Nine papers were accepted for presentation at DroNet 2017.

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第三届微型飞行器网络、系统与应用研讨会论文集

我们很高兴欢迎您参加2017年第三届微型飞行器网络，系统和应用研讨会(DroNet 2017)。本次研讨会汇集了研究人员和实践者，讨论令人兴奋的关于机载机器人车辆的新研究，通常被称为“无人机”。传统的移动系统响应设备移动性(如智能手机)，而无人机允许计算机系统主动控制设备位置，使它们能够以新的方式与物理世界进行交互，并具有新的规模、效率或精度。近年来，实验和构建真正无人机应用的启动成本大幅下降，这也得益于智能手机行业推动的技术发展，以及“创客”和DIY运动的兴起。最近使用无人机的流行应用包括3d地图、搜索和救援、监视、农田和建筑监控、轻型物品和产品的交付以及视频制作。我们很高兴提供一个接受论文的项目，包括无人机安全，无人机任务支持，无人机群，无人机网络流量分析，航空基站的蜂窝网络容量，虚拟人传送的无人机网络，无人机定位，以及通过无人机图像识别蚊子繁殖。九篇论文被接受在DroNet 2017上发表。

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 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications

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