• DocumentCode
    1664470
  • Title

    Improvement in real-time obstacle detection system for USV

  • Author

    Han Wang ; Zhuo Wei ; Chek Seng Ow ; Kah Tong Ho ; Feng, Baicheng ; Junjie Huang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2012
  • Firstpage
    1317
  • Lastpage
    1322
  • Abstract
    A real-time obstacle detection system with vision sensors has been developed for Unmanned Surface Vehicle (USV). The system enables the detection and localization of multiple obstacles in the range from 30 to 300 meters on the sea surface. Field tests have proven the performance and reliability of the system to be satisfactory. This paper focuses on the improvement made in the real-time obstacle detection system during the last year.
  • Keywords
    collision avoidance; computer vision; object detection; remotely operated vehicles; USV; computer vision; real-time obstacle detection system; unmanned surface vehicle; vision sensors; Boats; Cameras; Feature extraction; Global Positioning System; Instruction sets; Real-time systems; Sea surface; Unmanned Surface Vehicle (USV); computer vision; obstacle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-1871-6
  • Electronic_ISBN
    978-1-4673-1870-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2012.6485336
  • Filename
    6485336