• DocumentCode
    3308622
  • Title

    Pedestrian recognition in urban traffic using a vehicle based multilayer laserscanner

  • Author

    Fuerstenberg, Kay Ch ; Dietmayer, Klaus C J ; Willhoeft, Volker

  • Author_Institution
    Dept. of Meas., Control & Microtechnol., Ulm Univ., Germany
  • Volume
    1
  • fYear
    2002
  • fDate
    17-21 June 2002
  • Firstpage
    31
  • Abstract
    Vehicle-mounted laser scanners are able to observe the vehicles environment in order to detect, track and classify the surrounding objects and thus providing data for active safety systems. The latest development of IBEO combines several innovations. The receiver diodes are arranged in an array, which enables simultaneous measurements in 4 horizontal planes, e.g. to compensate pitching of the vehicle. In addition a multi target capability is integrated. This technique enables the detection of two distances with a single measurement, thus enhancing the robustness against rain. This paper introduces improved high speed object detection and high performance object tracking algorithms for real-time data processing. Additionally a classification of the road users is possible. A system architecture for detection and modelling of dynamic traffic scenes is introduced in order to provide a general idea of the different tasks necessary to reach the aim of a complete environmental model using a sensor for a wide range of applications.
  • Keywords
    array signal processing; diodes; image recognition; object detection; optical scanners; real-time systems; road vehicles; stability; EBEO; high-performance object tracking algorithms; high-speed object detection; laser scanner; multitarget capability; object classification; object detection; object tracking; pedestrian recognition; pitching compensation; rain robustness; real-time data processing; receiver diode array; urban traffic; vehicle based multilayer laserscanner; Diodes; Nonhomogeneous media; Object detection; Rain; Robustness; Semiconductor laser arrays; Target tracking; Technological innovation; Vehicle detection; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicle Symposium, 2002. IEEE
  • Print_ISBN
    0-7803-7346-4
  • Type

    conf

  • DOI
    10.1109/IVS.2002.1187923
  • Filename
    1187923