• DocumentCode
    3567709
  • Title

    Versatile land navigation using inertial sensors and odometry: Self-calibration, in-motion alignment and positioning

  • Author

    Yuanxin Wu

  • Author_Institution
    Sch. of Aeronaut. & Astronaut., Central South Univ., Changsha, China
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    19
  • Abstract
    Inertial measurement unit (IMU) and odometer have been commonly-used sensors for autonomous land navigation in the global positioning system (GPS)-denied scenarios. This paper systematically proposes a versatile strategy for self-contained land vehicle navigation using the IMU and an odometer. Specifically, the paper proposes a self-calibration and refinement method for IMU/odometer integration that is able to overcome significant variation of the misalignment parameters, which are induced by many inevitable and adverse factors such as load changing, refueling and ambient temperature. An odometer-aided IMU in-motion alignment algorithm is also devised that enables the first-responsive functionality even when the vehicle is running freely. The versatile strategy is successfully demonstrated and verified via long-distance real tests.
  • Keywords
    Global Positioning System; calibration; distance measurement; inertial navigation; position measurement; road vehicles; sensor fusion; autonomous land navigation; global positioning system; inertial measurement unit; inertial sensors; misalignment parameters; odometer aided IMU in-motion alignment algorithm; positioning algorithm; refinement method; self-calibration method; self-contained land vehicle navigation; versatile land navigation; Earth; Global Positioning System; Position measurement; Sensor systems; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Inertial Sensors and Systems Symposium (ISS), 2014 DGON
  • Type

    conf

  • DOI
    10.1109/InertialSensors.2014.7049412
  • Filename
    7049412