• DocumentCode
    2516101
  • Title

    Effectiveness study of cooperative sensor systems for VRU-safety

  • Author

    Kloeden, Horst ; Schwarz, Daniel ; Biebl, Erwin M. ; Rasshofer, Ralph H.

  • Author_Institution
    BMW Res. & Technol., Munich, Germany
  • fYear
    2012
  • fDate
    3-7 June 2012
  • Firstpage
    879
  • Lastpage
    884
  • Abstract
    The performance of environment perception sensors plays an important roll for the effectiveness of advanced driver assistance systems (ADAS). This paper analyzes different methods for sensor model generation for effectiveness simulations and derives a new sensor model unifying the main advantages of common deterministic and stochastic approaches. As an example, the paper utilizes the new sensor model to investigate the benefits of cooperative sensor systems for pedestrian safety. Cooperative sensors are a relatively new technology which allows for unique object classification and localization regardless of a sight obstruction. To generate a model, real world measurements are collected with a cooperative sensor system operating at 2.4 GHz. Finally, effectiveness simulations are performed to analyze the benefit of cooperative sensor systems in comparison to a single sensor system based on a monocular camera and a high-end fusion system with respect to a set of pedestrian accidents.
  • Keywords
    driver information systems; road safety; sensors; stochastic processes; VRU-safety; advanced driver assistance systems; cooperative sensor systems; effectiveness simulations; environment perception sensors; high-end fusion system; monocular camera; object classification; pedestrian accidents; pedestrian safety; sensor model generation; sight obstruction; stochastic approaches; Accidents; Analytical models; Cameras; Noise; Safety; Sensor systems; 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.2012.6232170
  • Filename
    6232170