• DocumentCode
    181854
  • Title

    Sensor data fusion for multiple configurations

  • Author

    Sandblom, Fredrik ; Sorstedt, Joakim

  • Author_Institution
    Volvo Group Trucks Technol., Gothenburg, Sweden
  • fYear
    2014
  • fDate
    8-11 June 2014
  • Firstpage
    1325
  • Lastpage
    1331
  • Abstract
    This paper presents a fusion architecture designed for vehicle manufacturers that use multiple sensor systems to realize several active safety applications, ranging from standard systems to autonomous systems. Advantages and disadvantages of design choices are discussed and the methods we have chosen to implement in two demonstrator vehicles are used as examples. The main contributions are the separation of the architecture into three categories, the state vector parametrization, and the use of multiple output-lists. Together, these choices make it possible to re-use verified core functionality while filters can be independently tuned to meet application-specific requirements.
  • Keywords
    driver information systems; road safety; road vehicles; sensor fusion; software architecture; vectors; autonomous systems; demonstrator vehicles; fusion architecture; multiple configurations; multiple sensor systems; safety applications; sensor data fusion; standard systems; state vector parametrization; vehicle manufacturers; Covariance matrices; Mathematical model; Predictive models; Radar tracking; Vectors; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium Proceedings, 2014 IEEE
  • Conference_Location
    Dearborn, MI
  • Type

    conf

  • DOI
    10.1109/IVS.2014.6856557
  • Filename
    6856557