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Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use最新文献

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Analysis of Harmful Interference to and from Aerial IEEE 802.11 Systems. 空中IEEE 802.11系统的有害干扰分析。
Bertold Van den Bergh, T. Vermeulen, S. Pollin
Civil Unmanned Aerial Vehicles (UAVs) enable a manifold of exciting new services. UAVs are about to be part of our everyday lives. The range of applications is very broad, ranging from swarms of UAVs that can be used for 3D modeling and surveillance of large areas, to search and rescues and fire fighter missions. An important cornerstone for the development of civil UAVs is communication technology. To ensure lightweight and cheap UAV technology, it is necessary to use existing commodity communication technology and chip-sets for UAV communications. Yet, the impact of the novel aerial and high altitude propagation context on those technologies needs to be understood. In this paper, we analyze the performance of IEEE 802.11 communication, both experimentally and by means of simulation. It is shown that the aerial context results in very different communication performance for an 802.11 network compared to the typical terrestrial context. Decreased shadowing gives a larger number of networks that can be seen, resulting in higher interference and packet loss due to collisions.
民用无人驾驶飞行器(uav)使多种令人兴奋的新服务成为可能。无人机即将成为我们日常生活的一部分。应用范围非常广泛,从可用于3D建模和大面积监视的无人机群,到搜索和救援以及消防员任务。通信技术是民用无人机发展的重要基石。为了保证无人机技术的轻量化和廉价化,有必要使用现有的商品化通信技术和芯片组进行无人机通信。然而,需要了解新的空中和高空传播环境对这些技术的影响。本文从实验和仿真两方面分析了IEEE 802.11通信的性能。研究表明,与典型的地面环境相比,空中环境导致802.11网络的通信性能差异很大。减少阴影可以看到更多的网络,从而导致更高的干扰和由于碰撞造成的数据包丢失。
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引用次数: 16
Epidgeons: Combining Drones and DTNs Technologies to Provide Connectivity in Remote Areas Epidgeons:结合无人机和ddn技术在偏远地区提供连接
P. Manzoni, C. Calafate, Juan-Carlos Cano, Edjair Mota
In certain geographical areas such as the rural areas or the developing regions, the lack of infrastructure, the temporary nature of the connections and the limited access to fixed public networks does not allow the use of all the advantages offered by the Internet. In this paper we present our project that aims to test a new communication system based on the combination of the use of unmanned aerial vehicles (called ePidgeons) and wireless networking technologies for Disruption Tolerant Networks (DTN). As a study case we will use the riparian communities along the rivers in the Amazon region.
在某些地理区域,例如农村地区或发展中地区,由于缺乏基础设施、连接的临时性质以及接入固定公共网络的机会有限,因此无法充分利用互联网提供的所有优势。在本文中,我们介绍了我们的项目,旨在测试一种基于使用无人机(称为ePidgeons)和用于容断网络(DTN)的无线网络技术相结合的新通信系统。作为研究案例,我们将使用亚马逊地区河流沿岸的河岸社区。
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引用次数: 4
Krypto: Assisting Search and Rescue Operations using Wi-Fi Signal with UAV Krypto:使用无人机的Wi-Fi信号协助搜救行动
Yao-Hua Ho, Yu-Ren Chen, Ling-Jyh Chen
Natural disasters affect thousands of people every year. In a large disaster area, search and rescue operations can face great difficulties to locate victims. In this paper, we propose a system, called Krypto, with UAV to assist search and recue operations. By flying over disaster area and detecting wireless signals from any cellular phones, Krypto is able to locate possible victims. In addition, this work addresses the challenges of maximizing the searching area and minimizing the location errors with different searching paths. We have analyzed different searching paths in terms of coverage, location errors, average speed, average searching time, and power consumption. Our experiments presented the design considerations and the performance comparisons of different searching paths for finding victim in a large disaster area.
自然灾害每年影响成千上万的人。在一个大的灾区,搜救行动可能面临很大的困难,以确定受害者。在本文中,我们提出了一个名为Krypto的系统,利用无人机来辅助搜索和救援行动。通过飞越灾区,探测来自任何手机的无线信号,Krypto能够定位可能的受害者。此外,本文还解决了不同搜索路径下搜索区域最大化和定位误差最小化的问题。我们从覆盖范围、位置误差、平均速度、平均搜索时间和功耗等方面分析了不同的搜索路径。我们的实验提出了在大灾区寻找受害者的不同搜索路径的设计考虑和性能比较。
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引用次数: 29
Session details: Communication Paper Session 会议详情:交流论文会议
K. Hummel
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引用次数: 0
Study and Experimentation of Control Policies to Dynamically Maintain Micro-UAV Flight Stability 动态保持微型无人机飞行稳定的控制策略研究与实验
F. Pedersini, Andrea Toscano, E. Pagani
Unmanned Aerial Vehicles (UAVs or drones, for short) are receiving increasing attention recently, due to the many applications they might be used for, ranging from territory surveillance to delivery of goods. The case of drones autonomously flying according to a pre-defined route is clearly the most interesting one for the deployment of such applications. Yet, autonomic flight requires that a drone is able to maintain stability – in terms of a target attitude – in spite of external disturbances (e.g. gusts of wind), with no human intervention. This is traditionally done with a PID (proportional integral derivative) controller, which takes as input the deviations from the target, and supplies in output the indication of how to act on the drone engines so as to restore the proper attitude. Two orders of problems must be dealt with when deploying a PID controller. First, the parameters weighing the input components must be properly tuned in order to guarantee attitude restoring, and to avoid oscillations of the system. Second, the PID output must be translated into commands to the drone engines so as to achieve the desired behavior. The former aspect can be solved either by hand, or with a number of automatic methods proposed in the literature (e.g. [1, 2]). Those methods involve complex mathematical models and are considerably time-consuming. As far as the latter aspect is concerned, there are hardware constraints that impede to abruptly change speed or spin of rotors and propellers, which otherwise may be damaged. In this paper, we introduce a mathematical model simplified yet effective in yielding appropriate parameters to implement an accurate controller, without the need of a complex preliminary calibration of the mechanical system. We describe our policies to apply controller indications to the drone hardware. We validate both model and policies through experiments.
无人驾驶飞行器(简称uav或无人机)最近受到越来越多的关注,因为它们可以用于从领土监视到货物运输的许多应用。无人机按照预先定义的路线自主飞行显然是部署此类应用程序最有趣的一个。然而,自主飞行要求无人机能够在没有人为干预的情况下,不受外界干扰(如阵风)的影响,保持目标姿态的稳定性。传统上,这是通过PID(比例积分导数)控制器完成的,PID控制器将偏离目标作为输入,并在输出中提供如何作用于无人机发动机以恢复正确姿态的指示。在部署PID控制器时,必须处理两级问题。首先,为了保证姿态恢复和避免系统振荡,必须适当地调整称重输入分量的参数。其次,必须将PID输出转换为无人机引擎的命令,以实现期望的行为。前者既可以手工解决,也可以使用文献中提出的一些自动方法(例如[1,2])。这些方法涉及复杂的数学模型,而且相当耗时。就后者而言,存在硬件约束,阻止旋翼和螺旋桨突然改变速度或旋转,否则可能会损坏。在本文中,我们介绍了一个简化的数学模型,它可以有效地产生适当的参数来实现精确的控制器,而无需对机械系统进行复杂的初步校准。我们描述了将控制器指示应用于无人机硬件的策略。我们通过实验验证了模型和策略。
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引用次数: 0
Experimental Validation of Efficient Static Trajectories for the Localization of Wireless Nodes in a Mixed Indoor-Outdoor Scenario Using an Unmanned Aerial Vehicle 基于无人机的室内-室外混合场景无线节点高效静态轨迹定位实验验证
O. Artemenko, Alina Rubina, T. Simon, A. Mitschele-Thiel
This paper concentrates on the adaptation of several state-of-the-art static trajectories. The so called Triangle and Circle trajectories are investigated in real-world experiments using a single unmanned aerial vehicle serving as a mobile anchor. Experimental results show that Triangle is better suited for our unique indoor-outdoor scenario.
本文主要研究几种最先进的静态轨迹的自适应。所谓的三角形和圆形轨迹在现实世界的实验中进行了研究,使用单个无人机作为移动锚。实验结果表明,三角形更适合我们独特的室内外场景。
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引用次数: 0
An Autonomous Multi-UAV System for Search and Rescue 一种自主多无人机搜救系统
Jurgen Scherer, S. Yahyanejad, Samira Hayat, E. Yanmaz, Torsten Andre, Asif Khan, V. Vukadinovic, C. Bettstetter, H. Hellwagner, B. Rinner
This paper proposes and evaluates a modular architecture of an autonomous unmanned aerial vehicle (UAV) system for search and rescue missions. Multiple multicopters are coordinated using a distributed control system. The system is implemented in the Robot Operating System (ROS) and is capable of providing a real-time video stream from a UAV to one or more base stations using a wireless communications infrastructure. The system supports a heterogeneous set of UAVs and camera sensors. If necessary, an operator can interfere and reduce the autonomy. The system has been tested in an outdoor mission serving as a proof of concept. Some insights from these tests are described in the paper.
本文提出并评估了一种用于搜索和救援任务的自主无人机(UAV)系统的模块化架构。多架多旋翼机使用分布式控制系统进行协调。该系统在机器人操作系统(ROS)中实现,能够使用无线通信基础设施从无人机向一个或多个基站提供实时视频流。该系统支持一组异构的无人机和相机传感器。如有必要,操作员可以干预并减少自主权。该系统已在一次户外任务中进行了测试,作为概念验证。本文描述了这些测试的一些见解。
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引用次数: 226
Virtual Tourism with Drones: Experiments and Lag Compensation 无人机虚拟旅游:实验与滞后补偿
David Mirk, H. Hlavacs
Tourism always involves physical movement between places, an activity that may be cumbersome, expensive, or even dangerous. Virtual tourism aims at reducing limitations by recreating real touristic venues in computers as 3D models. However, virtual tourism is always premade or prerecorded. In our virtual tourism approach we use UAVs to fly around at the target venues, and send a video they record live to a tourist sitting at home, or walking in a treadmill. The video is presented in a VR visor, and head movements steer the orientation of the drone. This way tourists have the impression to really visit a remote site live, without any limitations. We present experimental results and analyze the overhead of compensating Internet network delay.
旅游总是涉及地方之间的身体活动,这种活动可能很麻烦、很昂贵,甚至很危险。虚拟旅游旨在通过在计算机中以3D模型的形式再现真实的旅游场所,从而减少限制。然而,虚拟旅游总是预先制作或预先录制的。在我们的虚拟旅游方法中,我们使用无人机在目标场地周围飞行,并将他们录制的实时视频发送给坐在家里或在跑步机上行走的游客。视频在VR遮阳板中呈现,头部运动引导无人机的方向。通过这种方式,游客有一种不受任何限制,真正参观偏远地区的印象。我们给出了实验结果,并分析了补偿Internet网络延迟的开销。
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引用次数: 26
Aerial Platform based Wireless Communications: Will the Myth now become Reality? 基于空中平台的无线通信:神话现在会变成现实吗?
D. Grace
Aerial platforms have for many years promised to revolutionise the way wireless communications is delivered, but as yet little technology is available. However, recent advances, especially in the aeronautical technology, means that this promising means of delivery can now be realized, using a variety of different types of aerial platform. This talk will discuss the main factors influencing progress, including the aeronautical constraints, the state of the art, the regulatory environment, as well wireless communication system design. These will be placed in the context of the FP7 ABSOLUTE project, and other previous activities. Finally, the talk will explore some future examples of how such technologies can be used, such as to provide 5G wireless communications, along with discussing new projects in the area.
多年来,空中平台一直承诺将彻底改变无线通信的传输方式,但迄今为止,可用的技术很少。然而,最近的进步,特别是在航空技术方面,意味着这种有希望的交付方式现在可以实现,使用各种不同类型的空中平台。本讲座将讨论影响进展的主要因素,包括航空限制、技术状况、监管环境以及无线通信系统设计。这些将放在FP7 ABSOLUTE项目和其他先前活动的背景下。最后,讲座将探讨如何使用这些技术的一些未来示例,例如提供5G无线通信,并讨论该领域的新项目。
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引用次数: 0
Next-Hop Decision-Making in Mobility-Controlled Message Ferrying Networks 移动控制报文传送网络中的下一跳决策
T. Simon, A. Mitschele-Thiel
Message ferries support delay-tolerant networking in scenarios where nodes are too far from each other to communicate directly. We study scenarios where a data ferry moves between a fixed set of stationary nodes not connected otherwise. Thus, ferrying is assumed to be the only means of communication in the network. In order to minimize the average message delivery time, the ferry dynamically decides on the next node to visit. For this, we assume local knowledge only, i.e. the decision made by the ferry is solely based on locally derived information. Our studies are based on an abstract state transition model for the system. Based on this model we analyze the performance of different algorithms. This includes a static planning algorithm selecting the shortest Euler tour (TSP) and our dynamic decision algorithm (SOFCOM) based on local knowledge. In order to study the performance of both algorithms, we compare these with results derived by an idealized nondeterministic algorithm (oracle) assuming global as well as future knowledge on the generated messages. Our studies are based on symmetric as well as asymmetric traffic with exponential message arrivals. We show that our SOFCOM algorithm typically outperforms the TSP algorithm and that it achieves results close to the oracle solution. Especially important, our studies show that the benefits of global knowledge of the system state are rather small, and that local knowledge is sufficient to achieve very good results.
在节点之间距离太远而无法直接通信的情况下,消息传递支持容忍延迟的网络。我们研究的场景是,数据在一组固定的固定节点之间移动,否则不会连接。因此,假定轮渡是网络中唯一的通信手段。为了最小化平均消息传递时间,轮渡动态地决定下一个要访问的节点。为此,我们假设只有本地知识,即渡轮做出的决定完全基于本地派生的信息。我们的研究是基于系统的抽象状态转换模型。在此模型的基础上,分析了不同算法的性能。这包括选择最短欧拉行程(TSP)的静态规划算法和基于局部知识的动态决策算法(SOFCOM)。为了研究这两种算法的性能,我们将它们与理想化的不确定性算法(oracle)得出的结果进行比较,假设对生成的消息具有全局和未来的知识。我们的研究是基于对称和非对称流量的指数级消息到达。我们表明,我们的SOFCOM算法通常优于TSP算法,并且它达到了接近oracle解决方案的结果。特别重要的是,我们的研究表明,系统状态的全局知识的好处是相当小的,而局部知识足以获得非常好的结果。
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引用次数: 4
期刊
Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use
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