• DocumentCode
    2463597
  • Title

    Research on Key Technologies for Urban Unmanned Intelligent Vehicle

  • Author

    Jianfeng, Wang ; Chao, Zhang ; Yuetian, Shan ; Yunhe, Xu ; Shu, Wang

  • Author_Institution
    Sch. of Automobile Eng., Harbin Inst. of Technol., Weihai, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    51
  • Lastpage
    54
  • Abstract
    With the development of the intelligent transportation systems (ITS), and the widely used technologies of road testing, machine vision etc. in the field of intelligent vehicle, it is possible for the smart car to move automatically in well-structured environments. As for urban complex environments, the researches on unmanned intelligent vehicle are still at the initial stage. For the more complex urban environments, perception and control algorithms are made a higher demand. So the urban unmanned intelligent vehicles have become one of the hottest areas for future research and development. This article made a profound study on the key technologies of urban driverless intelligent vehicle including multi-sensor fusion of navigation systems, smart car body control systems, and the path planning decision, and also theoretically explained the possibility of the urban unmanned intelligent vehicle can be put into daily use.
  • Keywords
    automobiles; decision making; mobile robots; path planning; remotely operated vehicles; road vehicles; sensor fusion; intelligent transportation systems; multisensor fusion; navigation systems; path planning decision; smart car body control systems; urban driverless intelligent vehicle; urban unmanned intelligent vehicle; Intelligent vehicles; Laser radar; Navigation; Planning; Radar tracking; Roads; Vehicles; information fusion; path planning; road-following; urban unmanned intelligent vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.121
  • Filename
    5709320