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2024 2nd International Conference on Unmanned Vehicle Systems-Oman (UVS)最新文献

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Using AI-Enhanced UAVs to Detect and Size Marine Contaminations 利用人工智能增强型无人机检测和确定海洋污染的规模
Pub Date : 2024-02-12 DOI: 10.1109/UVS59630.2024.10467155
O. Eldirdiry, Navid Nasiri, Ahmed Al Maashari, H. Bourdoucen, J. Ghommam, Ashraf Saleem, G. A. Rawas, A. Al-Kamzari, Ahmed Ammari
This paper explores the utilization of unmanned aerial vehicles, remote sensing, and machine vision to detect and estimate the size of contaminations in seawater. The study outlines the essential setups and adjustments to simulate this process in indoor and outdoor settings. The proposed system is designed to chart the optimal path for a quadrotor, utilized in these experiments, allowing it to navigate and pinpoint oil spill locations within the test arena. The drone successfully detects and accurately reports the oil spill's location across multiple trials. The results confirm the effectiveness of the proposed system in detecting and assessing oil spills, showcasing its potential in real-world applications.
本文探讨了如何利用无人飞行器、遥感和机器视觉来检测和估算海水中污染物的大小。研究概述了在室内和室外环境中模拟这一过程的基本设置和调整。所提议的系统旨在为这些实验中使用的四旋翼无人机绘制最佳路径图,使其能够在测试场内导航并精确定位溢油位置。无人机在多次试验中成功探测并准确报告了溢油位置。实验结果证实了拟议系统在检测和评估溢油方面的有效性,展示了其在实际应用中的潜力。
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引用次数: 0
Application of Digital Documentation in Vernacular Architecture Studies: Case of the Omani French Museum in Mutrah 数字文献在乡土建筑研究中的应用:穆特拉阿曼法国博物馆案例
Pub Date : 2024-02-12 DOI: 10.1109/UVS59630.2024.10467164
Aliya Al-Hashim, Naima Bankari
In the past, heritage documentation and management relied fully on human labor, which includes: hand drawings, on-site measurements and pictures, etc. Such approach revealed to be time consuming and less precise, as heritage buildings have complex geometries. In recent years, remote sensing technologies have been playing key role in heritage documentation. However, the efficient transformation of remote-sensing data into as-built parametric smart models is currently an unresolved challenge. A pragmatic and organized Historic Building Information Modeling (HBIM) is essential in order to obtain a consistent model that can inform and integrate conservation and restoration work. This paper proposes a feasible, practical and replicable framework for developing HBIM by implementing emerging paradigms of open sourcing, photo-scan of existing structures, which is converted to intelligent objects with semantic attributes representing elements of building structure. The case study of Omani French Museum located in Mutrah (Oman) is used as an application example for the proposed framework.
过去,遗产的记录和管理完全依靠人力,包括手工绘图、现场测量和拍照等。由于遗产建筑的几何结构复杂,这种方法既费时又不精确。近年来,遥感技术在遗产记录方面发挥了关键作用。然而,如何有效地将遥感数据转化为建成后的参数化智能模型,是目前尚未解决的难题。为了获得一致的模型,为保护和修复工作提供信息并使之一体化,务实而有序的历史建筑信息建模(HBIM)是必不可少的。本文提出了一个可行、实用和可复制的 HBIM 开发框架,通过实施新兴的开放源范例,对现有结构进行照片扫描,并将其转换为具有代表建筑结构元素语义属性的智能对象。以位于 Mutrah(阿曼)的阿曼法国博物馆为例,介绍了拟议框架的应用实例。
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引用次数: 0
Long Endurance and Continuous Flight UAVs – Model-Based Design Approach 长航时和连续飞行无人机--基于模型的设计方法
Pub Date : 2024-02-12 DOI: 10.1109/UVS59630.2024.10467148
Wojciech Skarka, Krzysztof Mateja
The main problem of UAVs is the limited flight time. However, it is possible to extend the duration of the flight by using renewable energy sources. By means of model-based design methods, it is achievable to quantitatively assess the possibility of increasing the flight duration even to unlimited flight duration. The article presents three examples of a method for determining the potential to increase flight endurance, particularly with solar power supply. Numerical research and simulations are supported by the results of laboratory tests of demonstrators developed as part of the conducted research.
无人飞行器的主要问题是飞行时间有限。然而,利用可再生能源延长飞行时间是可能的。通过基于模型的设计方法,可以定量评估延长飞行时间甚至无限延长飞行时间的可能性。文章列举了三个实例,说明如何确定延长飞行时间的可能性,特别是利用太阳能供电的可能性。数值研究和模拟得到了作为研究一部分而开发的演示器的实验室测试结果的支持。
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引用次数: 0
Human Acceptance of Autonomous Mobility: A Literature Review 人类对自动驾驶汽车的接受程度:文献综述
Pub Date : 2024-02-12 DOI: 10.1109/UVS59630.2024.10467165
Dalia Hafiz
In recent years, with the emergence of autonomous mobility technologies and the multitude of services they offer, people's perception of Autonomous Mobility (AM) has surged. Individuals now have an array of choices at their disposal, enabling them to enhance the convenience and comfort of their trips. The trust people place in technology directly influences their embrace of such innovations. It is crucial to prioritize resources, policies, and activities focused on marketing, education, subsidization, and infrastructure advancement to foster greater public acceptance of autonomous mobility. Additionally, theories aimed at studying the factors that impact the acceptance of AM play a vital role. Promoting acceptance of autonomous mobility is vital for society, as attitudes towards use, perceived trust, and sense of gain play a significant role. Literature review and benchmarking existing experiences of autonomous technology is key in addressing public concerns and increasing awareness, ultimately influencing acceptability. The paper aims to provide a comprehensive understanding of the current state of knowledge in this field and identify future research opportunities to enhance people's acceptance of AM, especially in the Middle East and Gulf region.
近年来,随着自动驾驶交通技术的出现及其提供的多种服务,人们对自动驾驶交通(AM)的认知度急剧上升。现在,人们可以有多种选择,从而提高出行的便利性和舒适性。人们对技术的信任程度直接影响着他们对此类创新的接受程度。因此,必须优先考虑资源、政策和活动,重点关注营销、教育、补贴和基础设施建设,以促进公众对自动驾驶汽车的更大接受度。此外,旨在研究影响人们接受自动驾驶汽车的因素的理论也发挥着至关重要的作用。促进对自动驾驶汽车的接受对社会至关重要,因为使用态度、信任感和获得感都发挥着重要作用。文献综述和对自主技术现有经验的标杆分析是解决公众关切、提高公众意识并最终影响接受度的关键。本文旨在全面了解该领域的知识现状,并确定未来的研究机会,以提高人们对自动驾驶汽车的接受程度,尤其是在中东和海湾地区。
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引用次数: 0
Dynamic Modeling and Sliding Mode Control of an Over-Actuated Quadrotor with Variable Hedral Angle of Propeller Axes 具有可变螺旋桨轴赫德拉尔角的过驱动四旋翼飞行器的动态建模和滑动模式控制
Pub Date : 2024-02-12 DOI: 10.1109/UVS59630.2024.10467169
Ali Kafili Gavgani, Amin Talaeizadeh, S. Heidarzadeh, A. Alasty, Hossein Nejat Pishkenari
The conventional quadrotor, characterized by four control inputs to control six degrees of freedom, is inherently under-actuated, resulting in limited independent control over pitch and roll angles. In this study, we present a configuration that incorporates four additional control inputs for manipulating the angles of the propeller axes. This addresses the previously mentioned limitations and offers additional advantages. Also, it can exhibit enhanced stability during altitude reduction by mitigating the vortex ring state. We derive the dynamic model for this system using Newthon-Euler's method. To address unmodeled dynamics, uncertainties, disturbances, and the inherent complexity of these systems, we utilize a nonlinear robust sliding mode controller. An affining process is performed to account for the non-affine nature of the dynamic equations. We introduce an optimization criteria aimed at maximizing battery life, leveraging the over-actuation of the system. This controller is applied to a dynamic system, infused with various uncertainties, such as inaccurate actuators, high-delayed servo motors, uncertain physical parameters, and wind disturbances. These factors collectively challenge the robustness of the control strategy. Additionally, the controller is implemented on a MATLAB Simscape Multibody model. Given that the controller is model-based, the consistency of the obtained results validates the accuracy of the derived dynamic equations. This research aligns with the project SAC-1, one of the objectives of our lab, Sharif AgRoLab.
传统四旋翼飞行器的特点是通过四个控制输入来控制六个自由度,但这种飞行器本身动力不足,导致对俯仰角和滚转角的独立控制有限。在本研究中,我们提出了一种配置,其中包含四个额外的控制输入,用于操纵螺旋桨轴的角度。这不仅解决了之前提到的局限性,还带来了更多优势。此外,它还能通过缓解涡环状态,在降低高度时表现出更强的稳定性。我们使用 Newthon-Euler 方法推导出该系统的动态模型。为了解决未建模动态、不确定性、干扰以及这些系统固有的复杂性,我们采用了非线性鲁棒滑模控制器。为了考虑动态方程的非线性性质,我们采用了仿射过程。我们引入了一个优化标准,旨在利用系统的过动最大限度地延长电池寿命。该控制器适用于一个动态系统,其中包含各种不确定因素,如不准确的执行器、高延迟伺服电机、不确定的物理参数和风力干扰。这些因素共同对控制策略的鲁棒性提出了挑战。此外,控制器是在 MATLAB Simscape 多体模型上实现的。考虑到控制器是基于模型的,所获得结果的一致性验证了推导出的动态方程的准确性。这项研究与项目 SAC-1 相结合,SAC-1 是我们实验室 Sharif AgRoLab 的目标之一。
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引用次数: 0
Solar-Powered UAVs: A systematic Literature Review 太阳能无人飞行器:系统文献综述
Pub Date : 2024-02-12 DOI: 10.1109/UVS59630.2024.10467158
Luqman Sulaiman Al Dhafari, Aftab Afzal, Omar Khalifa Al Abri, Abid Khan
Solar-powered Unmanned Aerial Vehicles (SPUAVs), commonly known as solar drones, are an innovative and eco-friendly category of aircraft that rely on solar energy as their primary power source. Outfitted with solar panels, these drones capture and convert sunlight into electricity, substantially extending their flight durations. SPUAVs have garnered significant attention across a diverse array of applications, spanning surveillance, environmental monitoring, agriculture, disaster management, communication, weather tracking, and fire detection. By harnessing solar power, they offer compelling advantages, including greatly prolonged flight endurance, reduced reliance on fossil fuels, and cost-effectiveness. Capable of reaching altitudes exceeding 70,000 feet, they are well-suited for both civilian and military purposes. Transitioning away from non-renewable energy sources, SPUAVs present a sustainable and economically attractive alternative, uniting traditional aircraft, and unmanned aerial vehicles. Advances in renewable technologies, particularly in solar cells, rechargeable batteries, and electric motors, are revolutionizing the UAV landscape, enabling SPUAVs to achieve hitherto unattainable flight capabilities. The future portends transformative changes in aerial operations, marked by reduced environmental impact and heightened efficiency through solar-powered innovation.
太阳能无人驾驶飞行器(SPUAVs),俗称太阳能无人机,是一种依靠太阳能作为主要动力源的创新型环保飞行器。这些无人机装有太阳能电池板,可以捕捉太阳光并将其转化为电能,从而大大延长了飞行时间。SPUAV 在监视、环境监测、农业、灾害管理、通信、天气跟踪和火灾探测等各种应用领域都受到了广泛关注。通过利用太阳能,SPUAV 具有引人注目的优势,包括大大延长飞行续航时间、减少对化石燃料的依赖以及成本效益。它们的飞行高度可超过 7 万英尺,非常适合民用和军用目的。在向不可再生能源过渡的过程中,SPUAV 将传统飞机和无人驾驶飞行器结合起来,提供了一种可持续的、具有经济吸引力的替代方案。可再生技术的进步,特别是太阳能电池、充电电池和电动马达的进步,正在彻底改变无人飞行器的面貌,使 SPUAV 能够实现迄今为止无法实现的飞行能力。未来的航空作业将发生翻天覆地的变化,其特点是通过太阳能创新减少对环境的影响并提高效率。
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引用次数: 0
Unveiling the Shadows: Leveraging Current Drone Detection Vulnerabilities to Design and Build a Stealth Drone 揭开阴影:利用当前无人机探测漏洞设计和制造隐形无人机
Pub Date : 2024-02-12 DOI: 10.1109/UVS59630.2024.10467168
Fatimaelzahraa Ahmed, Noof Qassmi, Syeda Warisha Fatima Rizvi, Adulla Al-Ali
Drones have become a popular tool for illegal activities and attacks, causing serious threats to global security. In order to address this issue, our project aims to demonstrate the limitations of current drone detection systems by constructing a stealth drone, which is called “Ash.”. The designed drone will be capable of operating in three different modes, which are Wi-Fi, 915 MHz radio frequency (RF) signals, and autonomous mode using a global positioning system (GPS). In addition to that, the drone will be camouflaged to evade detection by optical sensors. We are using long-range (LoRa) technology to transmit on 915 MHz. This makes it difficult to be recognized by the RF analyzer as a drone communication signal. To evade detection by optical sensors, we are camouflaging the drone by adding an air balloon envelope on top of the drone's frame. This makes it appear as a flying air balloon to the detection systems, which should confuse these systems that use computer vision and artificial intelligence. To sum up, this project illustrates the importance of detecting drones accurately and the need for anti-drone systems to adapt to new technologies and tactics. By highlighting the weaknesses of current anti-drone systems, we aim to contribute to the development of more effective technologies to protect global cyberphysical security.
无人机已成为非法活动和袭击的常用工具,对全球安全造成严重威胁。为了解决这个问题,我们的项目旨在通过制造一种名为 "Ash "的隐形无人机来证明当前无人机探测系统的局限性。所设计的无人机将能够在三种不同模式下运行,即 Wi-Fi、915 MHz 射频(RF)信号和使用全球定位系统(GPS)的自主模式。除此之外,无人机还将进行伪装,以躲避光学传感器的探测。我们正在使用远距离(LoRa)技术在 915 MHz 上发射信号。这样,射频分析仪就很难将其识别为无人机通信信号。为了躲避光学传感器的探测,我们在无人机的框架顶部添加了一个气球外壳,对无人机进行伪装。这样,在探测系统看来,无人机就像一个正在飞行的气球,从而迷惑了这些使用计算机视觉和人工智能的系统。总之,该项目说明了准确探测无人机的重要性,以及反无人机系统适应新技术和新战术的必要性。通过强调当前反无人机系统的弱点,我们希望为开发更有效的技术以保护全球网络物理安全做出贡献。
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引用次数: 0
The design of Tracking Trajectory System for an Underaccuated Unmanned Surface Vehicle by Using an Adaptive Neuro-Fuzzy Sliding Mode Controller 利用自适应神经模糊滑模控制器设计低照度无人水面飞行器的跟踪轨迹系统
Pub Date : 2024-02-12 DOI: 10.1109/UVS59630.2024.10467046
Soroush Vahid, Hossein Akbari
This work introduces an adaptive neuro-fuzzy sliding mode controller strategy for the trajectory tracking of an underactuated unmanned surface vehicle (USV). The proposed scheme takes into account uncertainties and unknown disturbances. This research elaborates on a cooperative control strategy that combines NN, FLC, and SMC, or sliding mode control. To determine the equivalent control component, a feed-forward neural network is employed. To approximate the corrective control, a continuous fuzzy logic controller is utilized. Initially, the PID sliding surface is formulated, and afterwards, the coefficients associated with it are determined through the utilization of an adaptive control rule. To mitigate the occurrence of excessive chatter, a fuzzy logic controller (FLC) is employed to approximate the corrective control component. The same control is also computed using a feed-forward neural network (NN). Using the adaptive PID sliding surface and the gradient descent method, the weights of the neural network are computed. This particular technique has the capability to attain asymptotic stability and exhibit accelerated convergence.
本研究针对欠驱动无人水面飞行器(USV)的轨迹跟踪,提出了一种自适应神经模糊滑模控制器策略。提出的方案考虑了不确定性和未知干扰。本研究阐述了一种结合了 NN、FLC 和 SMC 或滑模控制的合作控制策略。为确定等效控制部件,采用了前馈神经网络。为了近似修正控制,采用了连续模糊逻辑控制器。首先制定 PID 滑动面,然后通过使用自适应控制规则确定与之相关的系数。为了减少过度颤振的发生,采用了模糊逻辑控制器(FLC)来近似修正控制组件。同样的控制也是通过一个前馈神经网络(NN)来计算的。利用自适应 PID 滑动面和梯度下降法计算神经网络的权重。这种特殊技术能够达到渐近稳定性,并表现出加速收敛性。
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引用次数: 0
A State-Of-The-Art Analysis Of Pesticide Spraying On Infected Plants Using IoE-Equipped UAV's Operational State 利用配备物联网的无人机的运行状态对受感染植物喷洒农药的最新分析
Pub Date : 2024-02-12 DOI: 10.1109/UVS59630.2024.10467161
G. Tamilarasi, B. B. Ahamed, M.G. Fajlul Kareem
Recent advances in IOT have elevated the role of “intelligent linking of things” from a simple “things” component to a commanding position. In the meantime, the internet of everything (IoE) is portrayed as an all-powerful continuation of the internet of things (IoT). Limited network coverage and existing network technology resources, on the other hand, are major roadblocks to IoE implementation. Unmanned Aerial Vehicles (UAVs) have garnered significant attention lately because of their great mobility, affordability, and adaptability in terms of deployment. As a result, unmanned aerial vehicles (UAVs) may be able to overcome IoE issues. Oman's agricultural products market is estimated to reach $2.11 billion by 2023 and is probable to reach $2.84 billion by 2028, increasing by 6.16% over the forecast period (2023–2028) which can provide ample opportunity for food product growth and development. The cultivation procedure will take more time and money because many of the farmers have dispersed farming lands. This can be mitigated by using UAAVs (Unmanned Agricultural Aerial Vehicles) in agricultural production. Farmers with scattered fields are requested to install this UAAV system, which includes airborne seed sowing, irrigation, monitoring, fertiliser and pesticide spraying, among other things. Deploying UAAVs with IOE technologies increases productivity by more than 85%.
物联网的最新进展将 "智能物联 "的角色从简单的 "物 "的组成部分提升到了指挥者的地位。与此同时,万物互联(IoE)被描绘成物联网(IoT)无所不能的延续。另一方面,有限的网络覆盖和现有的网络技术资源是实施 IoE 的主要障碍。无人机(UAV)因其强大的机动性、经济性和部署适应性,近来备受关注。因此,无人驾驶飞行器(UAV)或许能克服物联网问题。阿曼的农产品市场预计到 2023 年将达到 21.1 亿美元,到 2028 年可能达到 28.4 亿美元,在预测期内(2023-2028 年)增长 6.16%,这将为食品的增长和发展提供大量机会。由于许多农民的耕地分散,种植过程将花费更多的时间和金钱。在农业生产中使用无人农业飞行器(UAAVs)可以缓解这一问题。要求田地分散的农民安装这种 UAAV 系统,包括空中播种、灌溉、监测、施肥和喷洒农药等。采用 IOE 技术的 UAAV 可将生产率提高 85% 以上。
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引用次数: 0
Trustworthy Device Identifiers For Unmanned Aircraft and Other Mobile Things 无人驾驶飞机和其他移动设备的可信设备标识符
Pub Date : 2024-02-12 DOI: 10.1109/UVS59630.2024.10467167
R. Moskowitz, S. Card, A. Wiethuechter, Suleman Khan, Andrei Gurtov
The US FAA regulations and regulations from other global Civil Aviation Authorities impose significant limitations on secure Broadcast Remote ID strategies for Unmanned Aircraft Systems (UAS). One of the most challenging constraints is configuring messaging within Bluetooth 4 broadcast frames, seemingly limiting the capacity for a reliable Remote ID and trust in UAS communications. However, the Internet Engineering Task Force (IETF) Drone Remote ID Protocol (DRIP) workgroup has adeptly navigated these constraints. They have developed a provably secure Remote ID that authenticates all its messages and can be independently validated without needing an external, internet-based verification service. Remarkably, they achieve this within the stringent message length confines set by Broadcast Remote ID regulations and American Society for Testing and Materials (ASTM) standards. This novel solution, the DRIP Entity Tag (DET), doubles as a legitimate yet non-routable IPv6 address. Beyond its primary application, the DET has promising potential for adoption in broader mobile device ecosystems, fostering inter-device trust. In this paper, we explain the DRIP initiative and its implementation in real-world scenarios and examine its potential use on various mobile devices.
美国联邦航空局(FAA)的规定和全球其他民航局的规定对无人机系统(UAS)的安全广播远程 ID 策略施加了重大限制。最具挑战性的限制之一是在蓝牙 4 广播帧内配置信息,这似乎限制了可靠远程 ID 的能力和无人机系统通信的信任度。然而,互联网工程任务组(IETF)无人机远程 ID 协议(DRIP)工作组却巧妙地克服了这些限制。他们开发了一种可证明安全的远程 ID,可对其所有信息进行验证,并且无需基于互联网的外部验证服务即可进行独立验证。值得注意的是,他们是在广播远程 ID 规定和美国材料与试验协会 (ASTM) 标准设定的严格信息长度限制内实现这一目标的。这种新颖的解决方案,即 DRIP 实体标签 (DET),可作为一个合法但不可路由的 IPv6 地址。除主要应用外,DET 还有望在更广泛的移动设备生态系统中得到采用,促进设备间的信任。在本文中,我们将解释 DRIP 计划及其在现实世界中的应用,并研究其在各种移动设备上的潜在用途。
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引用次数: 0
期刊
2024 2nd International Conference on Unmanned Vehicle Systems-Oman (UVS)
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