Unmanned Aerial Vehicle as Communication Relay for Autonomous Underwater Vehicle - Field Tests

被引:0
|
作者
Johansen, Tor A. [1 ]
Zolich, Artur [1 ]
Hansen, Torkel [1 ]
Sorensen, Asgeir J. [2 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Engn Cybernet, Ctr Autonomous Marine Operat & Syst, Trondheim, Norway
[2] Norwegian Univ Sci & Technol, Dept Marine Technol, Ctr Autonomous Marine Operat & Syst, Trondheim, Norway
关键词
Autonomous Underwater Vehicle; Unmanned Aerial Vehicle; Wireless Communication;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper describes field experiments with an X8 Unmanned Aerial Vehicle (UAV) operating as a wireless communication relay while loitering over a REMUS 100 Autonomous Underwater Vehicle (AUV) being at the ocean surface. The paper describes the design of the communication relay payload, network configuration, optimal flight conditions and UAV antenna mounting, and experimental results. Experiments were conducted under less than ideal conditions with rain and turbulent winds leading to unfavorable roll and pitch motions of the UAV, and small waves surrounding the AUV. The results with data download from the AUV through the UAV communication relay to a ground station shows that at the tested (typical) flight conditions the distance and attitude between the AUV and UAV are not the bottlenecks in the communication network. The main bottleneck was identified as the capacity of the proprietary wireless system on the REMUS 100 AUV which was not specified as a high capacity data link, and seems to be set up by the AUV system manufacturer to provide a relatively low capacity, but very robust, wireless data link regardless of signal strength and quality.
引用
收藏
页码:1469 / 1474
页数:6
相关论文
共 50 条
  • [31] Autonomous tracking and landing of an unmanned aerial vehicle on a ground vehicle in rough terrain
    Aoki, Nobuaki
    Ishigami, Genya
    ADVANCED ROBOTICS, 2023, 37 (05) : 344 - 355
  • [32] Autonomous control system for the quadrotor unmanned aerial vehicle
    Wei, Xiaojuan
    2016 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), 2016, : 796 - 799
  • [33] Sensor fusion for navigation of an autonomous unmanned aerial vehicle
    Sasiadek, JZ
    Hartana, P
    2004 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1- 5, PROCEEDINGS, 2004, : 4029 - 4034
  • [34] Autonomous control logic to guide unmanned underwater vehicle
    不详
    IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1996, 11 (05): : 87 - 88
  • [35] Advancements in the field of autonomous underwater vehicle
    Sahoo, Avilash
    Dwivedy, Santosha K.
    Robi, P. S.
    OCEAN ENGINEERING, 2019, 181 : 145 - 160
  • [36] Visual Sensors Benchmark for Development of an Autonomous Navigation Setup for a Hybrid Unmanned Aerial Underwater Vehicle
    Mateus, Matheus G.
    Corcaque, Pedro L.
    Pedroso-, Adir A., Jr.
    da Silva, Andressa C.
    Oliveira, Guilherme C.
    de Almeida, Gustavo P.
    Silva, Thassio G.
    Guerra, Rodrigo S.
    Drews-, Paulo L. J., Jr.
    SYNERGETIC COOPERATION BETWEEN ROBOTS AND HUMANS, VOL 1, CLAWAR 2023, 2024, 810 : 203 - 214
  • [37] Autonomous safety control of unmanned aerial vehicle formation reconfiguration under communication delay
    Wei, Rui-Xuan
    Ru, Chang-Jian
    Qi, Xiao-Ming
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2013, 30 (09): : 1099 - 1108
  • [38] Autonomous Unmanned Aerial Vehicle for Post-Disaster Management With Cognitive Radio Communication
    Guru, Raja R.
    Kumar, Naresh P.
    INTERNATIONAL JOURNAL OF AMBIENT COMPUTING AND INTELLIGENCE, 2021, 12 (01) : 29 - 52
  • [39] Autonomous Deployment of Underwater Acoustic Monitoring Devices Using an Unmanned Aerial Vehicle: The Flying Hydrophone
    Babatunde, Daniel
    Pomeroy, Simon
    Lepper, Paul
    Clark, Ben
    Walker, Rebecca
    SENSORS, 2020, 20 (21) : 1 - 21
  • [40] Autonomous Vehicle Localization in a Vector Field: Underwater Vehicle Implementation
    Song, Zhuoyuan
    Mohseni, Kamran
    2014 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2014), 2014, : 2292 - 2297