Autonomous Underwater Vehicle for Vision Based Tracking

被引:15
|
作者
Kumar, G. Santhan [1 ]
Painumgal, Unnikrishnan V. [1 ]
Kumar, M. N. V. Chaitanya [1 ]
Rajesh, K. H. V. [1 ]
机构
[1] Vignans Inst Informat Technol, VSEZ, Vadlapudi Post, Visakhapatnam 530049, Andhra Pradesh, India
来源
INTERNATIONAL CONFERENCE ON ROBOTICS AND SMART MANUFACTURING (ROSMA2018) | 2018年 / 133卷
关键词
Autonomous Underwater Vehicle; Vision Based Control System; Image Tracking and Processing;
D O I
10.1016/j.procs.2018.07.021
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes about the design, construction and control of an "Autonomous Underwater Vehicle for Vision Based Tracking", built in Vignan's Institute of Information Technology, Centre for Innovation Lab. The underwater vision robot is essentially an Autonomous Underwater Vehicle (AUV) for study of marine animals by automatically tracking and following them using computer vision. The AUV can also be used as a platform for Photo-mapping of the Seafloor using the onboard camera and light arrangement. The robot is proposed to have 5 thrusters configurations to achieve 4 degrees of freedom controlled by an Inertial Measurement Unit (IMU) interfaced with control unit and powered by commercial LiPo battery packs. The robot is equipped with roll, pitch, heading, and depth sensors which provide sufficient feedback signals to automatically control the vehicle to track a pre-planned trajectory. The centre of gravity and centre of buoyancy of the vehicle are positioned in such a way that it is self-stabilized. Along with this the combinations of sensors and speed control drivers provide more stability to the system using a closed loop control system, without the operator involvement. The AUV also captures videos during its mission using the camera. It is planned to have a multi-core umbilical cable for video signal, water leakage alarm, feedback signals and battery charging lines. This will be only used for development and test purposes and will be removed during autonomous missions. Various control schemes can be applied for the vehicle to track different paths. The AUV is designed to the dimension of 575x210x175mm. The AUV uses O-rings for the hulls for good water sealing effect as well as for faster assembly and disassembly. We expect this AUV development to mature in to an advanced system can be used as a platform for study of the ocean by scientists, for environmental studies and for defense applications. (C) 2018 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:169 / 180
页数:12
相关论文
共 50 条
  • [1] Vision based autonomous underwater vehicle navigation: Underwater cable tracking
    Balasuriya, BAAP
    Takai, M
    Lam, WC
    Ura, T
    Kuroda, Y
    OCEANS '97 MTS/IEEE CONFERENCE PROCEEDINGS, VOLS 1 AND 2, 1997, : 1418 - 1424
  • [2] Autonomous target tracking by Underwater Robots based on vision
    Balasuriya, A
    Ura, T
    PROCEEDINGS OF THE 1998 INTERNATIONAL SYMPOSIUM ON UNDERWATER TECHNOLOGY, 1998, : 191 - 197
  • [3] Contraction Based Tracking Control of Autonomous Underwater Vehicle
    Mohamed, Majeed
    Su, Rong
    IFAC PAPERSONLINE, 2017, 50 (01): : 2665 - 2670
  • [4] Mooring cable tracking using active vision for a biomimetic autonomous underwater vehicle
    Guo, Jenhwa
    JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, 2008, 13 (02) : 147 - 153
  • [5] Mooring cable tracking using active vision for a biomimetic autonomous underwater vehicle
    Jenhwa Guo
    Journal of Marine Science and Technology, 2008, 13
  • [6] Cable tracking by autonomous underwater vehicle
    Kojima, J
    3RD INTERNATIONAL WORKSHOP ON SCIENTIFIC USE OF SUBMARINE CABLES AND RELATED TECHNOLOGY, PROCEEDINGS, 2003, : 171 - 174
  • [7] A vision-based system for autonomous underwater vehicle navigation
    Foresti, GL
    Gentili, S
    Zampato, M
    OCEANS'98 - CONFERENCE PROCEEDINGS, VOLS 1-3, 1998, : 195 - 199
  • [8] Underwater Dynamic Target Tracking of Autonomous Underwater Vehicle Based on MPC Algorithm
    Wei, Yali
    Zhu, Daqi
    Chu, Zhenzhong
    2018 IEEE 8TH INTERNATIONAL CONFERENCE ON UNDERWATER SYSTEM TECHNOLOGY: THEORY AND APPLICATIONS (USYS), 2018,
  • [9] Disturbance Observer Based Tracking Controller for an Autonomous Underwater Vehicle
    Mukherjee, Koena
    Kar, I. N.
    Bhatt, R. K. P.
    2015 IEEE UNDERWATER TECHNOLOGY (UT), 2015,
  • [10] Positioning of Unmanned Underwater Vehicle Based on Autonomous Tracking Buoy
    Li, Yuhan
    Ruan, Ruizhi
    Zhou, Zupeng
    Sun, Anqing
    Luo, Xiaonan
    SENSORS, 2023, 23 (09)