• DocumentCode
    2411727
  • Title

    Active perception for autonomous vehicles

  • Author

    Unterholzner, Alois ; Himmelsbach, Michael ; Wuensche, Hans-Joachim

  • Author_Institution
    Inst. for Autonomous Syst. Technol. (TAS), Univ. of the Bundeswehr Munich, Neubiberg, Germany
  • fYear
    2012
  • fDate
    14-18 May 2012
  • Firstpage
    1620
  • Lastpage
    1627
  • Abstract
    Precise perception of a vehicle´s surrounding is crucial for safe autonomous driving. It requires a high sensor resolution and a large field of view. Active perception, i.e. the redirection of a sensor´s focus of attention, is an approach to provide both. With active perception, however, the selection of an appropriate sensor orientation becomes necessary. This paper presents a method for determining the sensor orientation in urban traffic scenarios based on three criteria: the importance of traffic participants w.r.t. the current situation, the available information about traffic participants while considering alternative sensor orientations as well as sensor coverage of the vehicle´s relevant surrounding area.
  • Keywords
    mobile robots; road safety; road traffic; road vehicles; sensors; telerobotics; active perception; autonomous vehicles; high sensor resolution; safe autonomous driving; sensor coverage; sensor focus of attention; sensor orientation; traffic participants; urban traffic scenarios; vehicle perception; Covariance matrix; Equations; Mathematical model; Predictive models; Robot sensing systems; Uncertainty; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2012 IEEE International Conference on
  • Conference_Location
    Saint Paul, MN
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-1403-9
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ICRA.2012.6224879
  • Filename
    6224879