• DocumentCode
    2515540
  • Title

    Will intelligent vehicles evolve into Human-peer Robots?

  • Author

    Lio, Mauro Da ; Biral, Francesco ; Galvani, Marco ; Saroldi, Andrea

  • Author_Institution
    Dept. of Mech. & Struct. Eng., Univ. of Trento, Trento, Italy
  • fYear
    2012
  • fDate
    3-7 June 2012
  • Firstpage
    304
  • Lastpage
    309
  • Abstract
    This paper aims at stimulating the discussion on the future of Intelligent Vehicles. It is a position paper, indicating converging technologies that, in our opinion, will have to be used in future Intelligent Vehicles. We present a vision according to which Intelligent Vehicles will evolve into Human-peer Robots, here called Co-Drivers. Co-Drivers will be able to “understand” human drivers and to form symbiotic systems with them. The general architecture of Co-Drivers, the building blocks and the technologies that are needed to bring them to life are discussed, pointing out which parts have been already researched and which gaps still remain. We clarify what “understanding driver” actually means and how a joint system can be obtained. The paper will identify research needs and paths, and hopefully trigger interest.
  • Keywords
    human-robot interaction; road vehicles; codrivers; converging technologies; driver understanding; human drivers; human-peer robots; intelligent vehicles; symbiotic systems; Biological system modeling; Humans; Joints; Optimal control; Robots; Trajectory; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2012 IEEE
  • Conference_Location
    Alcala de Henares
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4673-2119-8
  • Type

    conf

  • DOI
    10.1109/IVS.2012.6232142
  • Filename
    6232142