• DocumentCode
    892434
  • Title

    To Drive Is Human

  • Author

    Miller, Isaac ; Garcia, Ephrahim ; Campbell, Mark

  • Author_Institution
    Sch. of Mech. & Aerosp. Eng., Cornell Univ., Ithaca, NY
  • Volume
    39
  • Issue
    12
  • fYear
    2006
  • Firstpage
    52
  • Lastpage
    56
  • Abstract
    We perform an enormous number of functions while driving, and a computer trying to match a human driver must face all of them. Cornell University researchers offer an insider´s perspective on the issues the DARPA Grand Challenge competitors faced in creating a humanlike driver - without the human. In preparing for the Grand Challenge, Cornell University´s team divided the driving problem into three basic tasks: (i) localization - knowing where you are, (ii) sensing - seeing what´s around you, and (iii) path planning etermining how to get to a destination. Creating a vehicle capable of driving itself therefore required finding computational solutions to each of these three tasks
  • Keywords
    Global Positioning System; automatic guided vehicles; military vehicles; mobile robots; path planning; remotely operated vehicles; sensors; AGV sensing system; DARPA Grand Challenge; GPS receiver; automatic ground vehicles; localization; path planning; robotic driving; Costs; Global Positioning System; Humans; Laser radar; Position measurement; Pulse measurements; Receivers; Satellite broadcasting; Uncertainty; Vehicles; Autonomous vehicles; DARPA Grand Challenge; Unmanned vehicles;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2006.446
  • Filename
    4039246