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2016 IEEE/OES Autonomous Underwater Vehicles (AUV)最新文献

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Iceberg worm: Biomimetic AUV for sea ice thickness survey using non-contact laser ultrasonic method 冰山蠕虫:用非接触式激光超声法测量海冰厚度的仿生AUV
Pub Date : 2016-11-01 DOI: 10.1109/AUV.2016.7778718
Hangil Joe, Son-cheol Yu
We propose a robot, named Iceberg worm, clinging to lower surface of ice shelf (or iceberg) for ice thickness measurement. The key technologies of the proposed robot are 1) Inverse buoyancy setting and adjustable buoyancy control system; 2) Biomimetic legs and crampons like insects feet; 3) Non-contact laser-ultrasonic ranging system; 4) Acoustic-taxis navigation like positive photo-taxis of bugs. A distinguishing characteristic of the proposed system is non-contact ice thickness measurement system by using laser-induced ultrasound, which improves measurement method on the cold and non-homogeneous rough surface of ice. In this paper, we presented technical issues to develop the proposed robot and imaginary methodologies.
我们提出了一种机器人,名为冰山蠕虫,依附在冰架(或冰山)的下表面进行冰厚测量。该机器人的关键技术有:1)反浮力设置和可调浮力控制系统;2)仿昆虫脚的仿生腿和冰爪;3)非接触式激光超声测距系统;4)声的士导航,就像虫子的正向光的士。该系统的一个显著特点是采用激光诱导超声进行非接触式冰厚测量,改进了冰冷非均匀粗糙表面的测量方法。在本文中,我们提出了开发所提出的机器人和想象方法的技术问题。
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引用次数: 0
Side scan sonar based onboard SLAM system for autonomous underwater vehicles 基于侧扫声纳的自主水下航行器机载SLAM系统
Pub Date : 2016-11-01 DOI: 10.1109/AUV.2016.7778671
K. Siantidis
The paper describes a Simultaneous Localization and Mapping (SLAM) system suitable for an autonomous underwater vehicle (AUV) equipped with a dead reckoning system and a side scan sonar (SSS). The system was developed with the intention to compensate position drifts of an AUV navigation system during a mission. The processing chain consists of an automatic landmark detector, an automatic data association module and the SLAM filter. This paper presents results showing that our onboard SLAM approach successfully reduces navigational drifts.
本文介绍了一种适用于配备航位推算系统和侧扫声纳的自主水下航行器(AUV)的同时定位与测绘(SLAM)系统。该系统是为了补偿水下航行器导航系统在执行任务期间的位置漂移而开发的。该处理链由自动地标检测器、自动数据关联模块和SLAM滤波器组成。本文的结果表明,我们的机载SLAM方法成功地减少了导航漂移。
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引用次数: 15
A bio-inspired underwater glider with undulatory fin for long-duration, spatially explicit water column sampling 一种仿生水下滑翔机,具有波动鳍,用于长时间,空间明确的水柱采样
Pub Date : 2016-11-01 DOI: 10.1109/AUV.2016.7778722
Daiwei Li, Zheng Zeng, Junliang Cao, Di Lu, Chengke Xiong, L. Lian
This paper presents the design and experimental evaluation of a bio-inspired underwater glider with undulatory fin, which is highly maneuverable and energy efficient and holds strong promise for long-duration monitoring of aquatic environments. A novel scheme is proposed for spatially explicit water column sampling using the bio-inspired underwater glider. The scheme using spiraling motion to sample each water column, followed by sawtooth motion toward the direction of the next water column. Once surfacing, the glider uses undulatory fin propulsion to reach the next column location. Comprehensive design for the bio-inspired underwater glider prototype, comprised of six individually-actuated fin, is provided. Experiments are performed in a test tank to investigate the performance and maneuverability of the bio-inspired underwater glider prototype via surface swimming.
本文介绍了一种具有高机动性和高能效的波浪鳍仿生水下滑翔机的设计和实验评估,该滑翔机在水生环境的长时间监测中具有很强的前景。提出了一种利用仿生水下滑翔机进行空间显式水柱采样的新方案。该方案采用螺旋运动对每个水柱进行采样,然后向下一个水柱的方向进行锯齿运动。一旦浮出水面,滑翔机使用波动鳍推进到达下一个柱的位置。提供了由六个独立驱动鳍组成的仿生水下滑翔机原型的综合设计。在实验池中对仿生水下滑翔机原型机进行了水面游泳性能和机动性研究。
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引用次数: 3
Autonomous hovering profiler 自动悬停剖面仪
Pub Date : 2016-11-01 DOI: 10.1109/AUV.2016.7778682
P. Maurya, E. de Sa, A. Dubey, N. Dabholkar, A. Pascoal
The Autonomous hovering profiler (AHP) presented here has its basis on the Controlled thruster driven profiler that was first conceptualized in US patent 6,786,087 [1] thereafter developed as a proven oceanographic profiler (the Autonomous Vertical Profiler- AVP) [2] that is being used in scientific programs at NIO, Goa. We have augmented the AVP by incorporating additional acoustic and pressure sensors together with a versatile hover /altitude control system that maintains the device at a constant altitude above the seabed or below the sea surface. By doing this the AHP can hover and follow the topography of the seabed or sea surface as it drifts under the action of ocean currents. The development has the potential of novel applications in coral and seabed photography, time tracking of surface phytoplankton blooms and to autonomously follow the gradients of physical variables of chlorophyll, temperature, and dissolved oxygen which have stable time varying vertical profile shapes.
本文介绍的自主悬停剖面仪(AHP)基于受控推进器驱动的剖面仪,该剖面仪最初是在美国专利6,786,087中提出的概念[1],随后发展成为一种经过验证的海洋剖面仪(自主垂直剖面仪- AVP)[2],该剖面仪正在NIO果阿的科学项目中使用。我们通过整合额外的声学和压力传感器以及多功能悬停/高度控制系统来增强AVP,使设备保持在海床以上或海面以下的恒定高度。通过这样做,AHP可以悬停并跟随海底或海面的地形,因为它在洋流的作用下漂移。这一发展在珊瑚和海底摄影、海面浮游植物华花的时间跟踪以及自主跟踪具有稳定时变垂直剖面形状的叶绿素、温度和溶解氧等物理变量的梯度等方面具有新的应用潜力。
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引用次数: 5
Effect on Kalman based underwater tracking due to ocean current uncertainty 海流不确定性对卡尔曼水下跟踪的影响
Pub Date : 2016-11-01 DOI: 10.1109/AUV.2016.7778660
Zhongben Zhu, Sau-Lon James Hu, Huajun Li
Although it was recognized that an unmanned underwater vehicle (UUV) in reality might experience changing ocean current along its mission trajectory, most published papers related to the single beacon underwater navigation assumed a constant ocean current over the whole duration. When this assumption is against the reality, those underwater tracking models not only will fail to adequately describe the change of ocean current over the duration, but also may introduce large error to their position estimation. In this paper, by including adequate ocean current uncertainty in the process model at each discrete time, the estimated ocean current can exhibit time-varying and location-dependent characteristics. The effect on the accuracy of underwater tracking due to the inclusion of the ocean current uncertainty is investigated through a kinematic model that treats the unknown effective sound velocity (ESV) as a state variable. In addition to the Kalman filter, the performance of the corresponding Rauch-Tung-Striebel (RTS) smoother is also studied. Both simulation and filed data are used to study the effect on the accuracy of underwater tracking.
尽管人们认识到无人潜航器(UUV)在实际任务中可能会遇到不断变化的洋流,但大多数与单信标水下导航相关的论文都假设整个过程中都有恒定的洋流。当这一假设与现实不符时,这些水下跟踪模型不仅不能充分描述持续时间内洋流的变化,而且可能会给其位置估计带来较大误差。在本文中,通过在每个离散时间的过程模型中包含足够的海流不确定性,估算的海流可以表现出时变和位置依赖的特征。通过以未知有效声速(ESV)为状态变量的运动学模型,研究了海流不确定性对水下跟踪精度的影响。除了卡尔曼滤波器外,还研究了相应的Rauch-Tung-Striebel (RTS)平滑器的性能。利用仿真和实测数据,研究了对水下跟踪精度的影响。
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引用次数: 18
MERLIN - A decade of large AUV experience at Memorial University of Newfoundland MERLIN -在纽芬兰纪念大学有十年的大型AUV经验
Pub Date : 2016-11-01 DOI: 10.1109/AUV.2016.7778675
Ron Lewis, N. Bose, Sara Lewis, P. King, D. Walker, R. Devillers, Nick Ridgley, T. Husain, J. Munroe, A. Vardy
Autonomous Underwater Vehicle (AUV) technology has significant research potential, specifically for harsh maritime environment operations. Memorial University of Newfoundland recognized this potential and in 2005 the University commissioned an International Submarine Engineering Explorer AUV to be built. The Marine Environmental Research Lab for Intelligent Vehicles (MERLIN) was established to manage, maintain and operate the Explorer for Memorial University and any other potential AUV users. Over the course of ten years, MERLIN capabilities have grown to a full service AUV research team with harsh maritime and polar experiences. The Explorer was born in the Pacific Ocean, lives in the Atlantic Ocean and has vacationed in the Arctic. AUV research efforts have evolved from dynamic vehicle studies with basic sensor technology to integration of cutting edge sonar systems that push the boundaries of AUV design and successful implementations of original research into advanced autonomous navigation.
自主水下航行器(AUV)技术具有巨大的研究潜力,特别是在恶劣的海洋环境中。纽芬兰纪念大学认识到了这一潜力,并于2005年委托建造了一艘国际潜艇工程探索者AUV。智能车辆海洋环境研究实验室(MERLIN)的成立是为了管理、维护和操作纪念大学和任何其他潜在的AUV用户的探索者。在过去的十年中,MERLIN已经发展成为一支拥有苛刻海上和极地经验的全方位服务AUV研究团队。探险家出生在太平洋,生活在大西洋,并在北极度假。AUV的研究工作已经从基于基本传感器技术的动态车辆研究发展到尖端声纳系统的集成,这些系统推动了AUV设计的界限,并成功地将原始研究应用于先进的自主导航。
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引用次数: 6
Cooperative multi-AUV localization using distributed extended information filter 基于分布式扩展信息滤波器的多水下机器人协同定位
Pub Date : 2016-11-01 DOI: 10.1109/AUV.2016.7778673
G. Rui, M. Chitre
Cooperative multi-AUV localization has the potential to outperform single-AUV localization, by taking advantage of data sharing among the team members. Unlike terrestrial communication links, underwater communication links have many issues pertaining to the channel stability and bandwidth, and therefore a decentralized localization is preferred. However this opens up new challenges to team members working in cooperation. This paper uses analytical examples to illustrate the cooperation problems in the decentralized architecture. To solve these problems, we propose a new cooperative multi-AUV localization algorithm using distributed extended information filter (DEIF). The proposed method only requires small transmission packets and is designed for use under constrained underwater communication. It is robust to packet loss, providing consistent position estimates when fusing correlated data. We demonstrate the effectiveness and advantages of the proposed method with comparative results using data from simulation and field experiments.
通过利用团队成员之间的数据共享,协作式多auv定位有可能优于单auv定位。与地面通信链路不同,水下通信链路有许多与信道稳定性和带宽有关的问题,因此首选分散定位。然而,这给团队成员的合作带来了新的挑战。本文通过实例分析说明了分布式体系结构中的协作问题。为了解决这些问题,我们提出了一种基于分布式扩展信息滤波(DEIF)的多水下机器人协同定位算法。该方法只需要很小的传输数据包,并且设计用于受限的水下通信。它对丢包具有鲁棒性,在融合相关数据时提供一致的位置估计。通过仿真和现场实验数据对比,证明了该方法的有效性和优越性。
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引用次数: 15
Submap bathymetric SLAM using structured light in underwater environments 在水下环境中使用结构光的子地图测深SLAM
Pub Date : 2016-11-01 DOI: 10.1109/AUV.2016.7778669
M. Massot-Campos, G. Oliver, A. Bodenmann, B. Thornton
This article presents a bathymetric SLAM (simultaneous localization and mapping) solution for underwater vehicles by addressing the registration of point clouds gathered from single line laser-based structured light systems. While structured light can be applied to generate millimetre resolution seafloor bathymetry, the accuracy of the maps generated is typically constrained by the localization accuracy of the vehicles used. In this work, relative uncertainties in vehicle localisation are reduced by implementing bathymetric SLAM using temporally constrained submaps. We demonstrate that the method described can overcome misalignments by correcting errors in localisation and can be used to generate self-consistent high-resolution seafloor bathymetric maps.
本文提出了一种用于水下航行器的深度SLAM(同步定位和测绘)解决方案,解决了从单线激光结构光系统收集的点云的配准问题。虽然结构光可以用于生成毫米级分辨率的海底测深图,但生成地图的精度通常受到所用车辆定位精度的限制。在这项工作中,通过使用时间约束子地图实现测深SLAM,减少了车辆定位的相对不确定性。我们证明了所描述的方法可以通过纠正定位误差来克服错位,并可用于生成自一致的高分辨率海底等深线地图。
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引用次数: 17
Mini ROV based anchoring AUV system TreeBot AUV
Pub Date : 2016-11-01 DOI: 10.1109/AUV.2016.7778715
Minsung Sung, Son-cheol Yu
Underwater environment which has swift current is difficult area to explore with AUV. Because of swift current, AUV could be swept by current losing control of itself. TreeBot is designed to explore the area which has swift current. TreeBot consist of two parts; anchor and mini ROVs. Anchor is fixed on floor of ocean and protect TreeBot from being swept. Then, mini ROVs are launched from anchor and collect information about underwater environment.
水流湍急的水下环境是水下航行器难以探测的区域。由于水流湍急,AUV可能会被失去控制的水流横扫。TreeBot是为探索水流湍急的地区而设计的。TreeBot由两部分组成;锚和迷你rov。锚固定在海底,保护TreeBot不被扫过。然后,从锚点发射微型rov,收集水下环境信息。
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引用次数: 3
Surveillance of coral reef development using an Autonomous Underwater Vehicle 使用自主水下航行器监视珊瑚礁的发展
Pub Date : 2016-11-01 DOI: 10.1109/AUV.2016.7778713
Mohammad Fahmi Amri Bin Mohd Murad, Z. Ismail, Mohamed Idzham Bin Samah, K. Sammut
With the arrival of new robotic technologies such as an Autonomous Underwater Vehicle (AUV), a number of tasks that cannot be done by human now can be accomplished and bring human to reach the dangerous and unreachable areas. An AUV can be related to the most invention which can reduce human's work using specialized equipment and devices that control and perform the particular tasks. Therefore, it is able to fulfil the predetermined task without any human control and to react against unexpected situation by its artificial intelligence. This paper examines the effectiveness of using AUV as surveillance system for coral reef ecology. We propose a new AUV that ease researcher or activist to survey the condition of coral reef ecology environment.
随着自主水下航行器(Autonomous Underwater Vehicle, AUV)等新型机器人技术的出现,许多人类目前无法完成的任务都可以被完成,并将人类带到了危险和难以到达的区域。AUV可以与大多数发明相关,这些发明可以减少人类使用专用设备和装置来控制和执行特定任务的工作。因此,它可以在没有任何人为控制的情况下完成预定的任务,并通过其人工智能对意外情况做出反应。本文研究了利用水下航行器作为珊瑚礁生态监测系统的有效性。我们提出了一种新的水下航行器,方便研究人员或活动人士调查珊瑚礁生态环境状况。
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引用次数: 0
期刊
2016 IEEE/OES Autonomous Underwater Vehicles (AUV)
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