• DocumentCode
    3266436
  • Title

    High Integrity Reference Trajectory for Benchmarking Land Navigation Data Fusion Methods

  • Author

    Bétaille, David ; Chapelon, Antoine ; Lusetti, Benoît ; Kais, Mikaël ; Millescamps, Damien

  • Author_Institution
    Lab. Central des Ponts et Chaussees, Nantes
  • fYear
    2007
  • fDate
    13-15 June 2007
  • Firstpage
    346
  • Lastpage
    351
  • Abstract
    In the framework of a joint initiative of several French laboratories that investigate land navigation, the authors have designed an architecture and tests protocol for benchmarking altogether data fusion methods applied on a collection of sensors covering the complete range of quality. Special attention has been given to sensors data timestamping since the benchmarking is based on the comparison of computed trajectories with the reference trajectory, so called because its computation fuses the most advanced sensors. A device called SensorHub that allows hardware based multi-sensor data timestamping was used. Real-time but also post-process estimations of the reference trajectory where provided by the combination of kinematic GPS and LandlNS, a high precision IMU provided by IXSea. Beyond the precision of these estimated trajectories (that highly depends on how long the roving GPS receiver was masked), the relevance of the computed integrity is emphasized in this article.
  • Keywords
    Global Positioning System; data integrity; driver information systems; estimation theory; inertial navigation; protocols; road vehicles; sensor fusion; French laboratory; Global Positioning System; driver navigation; high integrity reference trajectory; inertial measurement unit; inertial navigation system; kinematic GPS; land navigation data fusion method; multisensor data timestamping; protocol; road vehicle; sensor fusion; Benchmark testing; Global Positioning System; Kinematics; Navigation; Protocols; Roads; Satellites; Sensor fusion; Solid modeling; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2007 IEEE
  • Conference_Location
    Istanbul
  • ISSN
    1931-0587
  • Print_ISBN
    1-4244-1067-3
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2007.4290138
  • Filename
    4290138