• DocumentCode
    26739
  • Title

    The Impact of Cooperative Perception on Decision Making and Planning of Autonomous Vehicles

  • Author

    Seong-Woo Kim ; Wei Liu ; Ang, Marcelo H. ; Frazzoli, Emilio ; Rus, Daniela

  • Author_Institution
    GECE, Seoul Nat. Univ., Seoul, South Korea
  • Volume
    7
  • Issue
    3
  • fYear
    2015
  • fDate
    Fall 2015
  • Firstpage
    39
  • Lastpage
    50
  • Abstract
    In this article, we investigate how cooperative perception gives the impact on decision making and planning of autonomous vehicles on the road. Cooperative perception is the exchange of local sensing information with other vehicles or infrastructures via wireless communications, by which the perception range can be considerably extended up to the boundary of connected vehicles. This augmented perception capability can provide oncoming traffic information beyond line-of-sight and field-of-view, which enables better control of both manned and unmanned vehicles. In this article, we first present an on-road sensing system to provide a see-through/lifted-seat/satellite view to drivers. Then, we investigate how the extended perception capability can contribute to situation awareness on the road. Finally, we provide methods for safer and smoother autonomous driving using the augmented situation awareness and perception capability. All introduced and proposed concepts are implemented and validated on autonomous vehicles.
  • Keywords
    decision making; mobile communication; mobile robots; road vehicles; augmented perception capability; augmented situation awareness; autonomous vehicles planning; cooperative perception; decision making; extended perception capability; field-of-view; lifted-seat; local sensing information; manned vehicles; on-road sensing system; oncoming traffic information; satellite view; see-through; unmanned vehicles; wireless communications; Hidden Markov models; Mobile robots; Planning; Roads; Satellites; Sensors; Vehicles;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1939-1390
  • Type

    jour

  • DOI
    10.1109/MITS.2015.2409883
  • Filename
    7169673