VISUAL NAVIGATION METHOD FOR ARRANGING INSPECTION OF UNDERWATER PIPELINE BY AUTONOMOUS ROBOT

被引:0
|
作者
Bobkov, Valery A. [1 ]
Morozov, Mikhail A. [1 ]
Inzartsev, Alexander V. [2 ]
Eliseenko, Grigory D. [2 ]
机构
[1] Russian Acad Sci, Far Eastern Branch, Inst Automat & Control Proc, Comp Graph Lab, St Radio 5, Vladivostok 690041, Russia
[2] Russian Acad Sci, Far Eastern Branch, Inst Marine Technol Problems, Lab Management Syst, St Sukhanova 5a, Vladivostok 690091, Russia
来源
MARINE INTELLECTUAL TECHNOLOGIES | 2019年 / 3卷 / 03期
关键词
autonomous underwater robot; linear laser; underwater pipeline; inspection of communications; simulation; visual navigation; identification;
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The article reviews a simulation modeling solution to the problem of automatic inspection of underwater pipelines using autonomous underwater robots. The proposed method for determining the position of the robot in relation to the inspected pipeline in the immediate vicinity of the object is described. The method is based on the processing of video information and measurements of a linear laser using the method of visual navigation. Original pipeline identification algorithms are proposed for use with both mono and stereo cameras. Functional testing of the developed algorithms and performance evaluation was carried out on virtual scenes with in the framework of the simulation modeling complex developed by the authors, distributed on a multiprocessor computing architecture. Computational experiments have shown that the accuracy of the calculated parameters of the relative position of the autonomous underwater robot and the pipeline meets the requirements of the autonomous underwater robot control system.
引用
收藏
页码:143 / 151
页数:9
相关论文
共 50 条
  • [31] A Novel Intelligent Inspection Robot Navigation Strategy for Autonomous Defect Search in Pipeline Anti-corrosion Coating
    Tian, Shunxin
    Zhang, Dexin
    2023 5TH INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTICS, ICCR, 2023, : 101 - 106
  • [32] Visual navigation for a power transmission line inspection robot
    Zhang, Yunchu
    Fu, Siyao
    Zhao, Xiaoguang
    Liang, Zize
    Tan, Min
    Zhang, Yongqian
    COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS, 2006, 4114 : 887 - 892
  • [33] An Autonomous Underwater Vehicle Simulation With Fuzzy Sensor Fusion for Pipeline Inspection
    Sang, I-Chen
    Norris, William R.
    IEEE SENSORS JOURNAL, 2023, 23 (08) : 8941 - 8951
  • [34] Coordinated formation control of multiple autonomous underwater vehicles for pipeline inspection
    Xiang X.
    Jouvencel B.
    Parodi O.
    International Journal of Advanced Robotic Systems, 2010, 7 (01) : 75 - 84
  • [35] Coordinated Formation Control of Multiple Autonomous Underwater Vehicles for Pipeline Inspection
    Xiang, Xianbo
    Jouvencel, Bruno
    Parodi, Olivier
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2010, 7 (01): : 75 - 84
  • [36] Dead reckoning method for autonomous navigation of autonomous underwater vehicles
    2005, Chinese Academy of Sciences, Shenyang, China (27):
  • [37] An Autonomous Underwater Vehicle Navigation Technique for Inspection and Data Acquisition in UWSNs
    Wibisono, Arif
    Piran, Md. Jalil
    Song, Hyoung-Kyu
    Lee, Byung Moo
    IEEE ACCESS, 2024, 12 : 8641 - 8654
  • [38] Autonomous Pipeline Inspection
    1600, Society of Petroleum Engineers (SPE) (56):
  • [39] Autonomous Underwater Pipeline Tracking Control Based on Visual Images
    Zhou, Zexing
    Shen, Hailong
    Huang, Hai
    Zhou, Hao
    Wan, Zhaoliang
    Wang, Zhuo
    Xu, Yang
    2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2018, : 2101 - 2106
  • [40] Visual Memory Construction for Autonomous Humanoid Robot Navigation
    Lopez-Martinez, A.
    Cuevas, F. J.
    Sosa-Balderas, J., V
    PROGRESS IN OPTOMECHATRONIC TECHNOLOGIES, 2019, 233 : 103 - 109