• DocumentCode
    2124203
  • Title

    iDriver - Human Machine Interface for Autonomous Cars

  • Author

    Reuschenbach, Arturo ; Wang, Miao ; Ganjineh, Tinosch ; Göhring, Daniel

  • Author_Institution
    Artificial Intell. Group, Freie Univ. Berlin, Berlin, Germany
  • fYear
    2011
  • fDate
    11-13 April 2011
  • Firstpage
    435
  • Lastpage
    440
  • Abstract
    Modern cars are equipped with a variety of sensors, advanced driver assistance systems and user interfaces nowadays. To benefit from these systems and to optimally support the driver in his monitoring and decision making process, efficient human-machine interfaces play an important part. This paper describes the second release of iDriver, an iPad software solution which was developed to navigate and remote control autonomous cars, to give access to live sensor data and useful data about the car state, as there are, e.g., current speed, engine and gear state. The software was used and evaluated in our two fully autonomous research cars "Spirit of Berlin" and "Made in Germany".
  • Keywords
    automobiles; driver information systems; man-machine systems; sensors; telecontrol; user interfaces; Made in Germany; Spirit of Berlin; advanced driver assistance systems; autonomous cars; decision making process; human machine interface; iDriver; iPad software solution; remote control; sensor data; user interfaces; Cameras; Driver circuits; Humans; Sensors; Servers; Software; Vehicles; autonomous; car; driver assistance; iPad; made in germany; remote control; spirit of berlin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations (ITNG), 2011 Eighth International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-61284-427-5
  • Electronic_ISBN
    978-0-7695-4367-3
  • Type

    conf

  • DOI
    10.1109/ITNG.2011.83
  • Filename
    5945275