• DocumentCode
    2554846
  • Title

    A new multi-sensor platform for adaptive driving assistance system (ADAS)

  • Author

    Xin Jia ; Zhencheng Hu ; Hsin Guan

  • Author_Institution
    State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Jilin, China
  • fYear
    2011
  • fDate
    21-25 June 2011
  • Firstpage
    1224
  • Lastpage
    1230
  • Abstract
    In the paper, a new multi-sensor platform for adaptive driving assistance system is introduced. The platform is composed of multi-radar, multi-camera, combined positioning and navigation equipment, and some information can also be obtained from vehicle CAN bus. With the platform and the technique such as multicast network, the information such as road edges, lane marking, traffic marking, obstacles, other vehicles and pedestrians, position and velocity, acceleration and so on has be obtained during the vehicle is moving. The vehicle´s moving state can be control with decision strategy module of ADAS based on the information. The experiments results show that the platform can complete the mission of information perception module of ADAS efficiently and accurately.
  • Keywords
    cameras; controller area networks; driver information systems; navigation; radar computing; road traffic; sensor fusion; acceleration; adaptive driving assistance system; decision strategy module; information perception module; lane marking; multicamera; multicast network; multiradar; multisensor platform; navigation equipment; obstacle; pedestrian; positioning; road edge; traffic marking; vehicle CAN bus; vehicle moving state; velocity; Acceleration; Indexes; Radar detection; Sensor systems; Vehicles; ADAS; information fusion; information transmission; multi-sensor; traffic information detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2011 9th World Congress on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-61284-698-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2011.5970711
  • Filename
    5970711