• DocumentCode
    2983471
  • Title

    Vehicle State Estimation System Aided by Inertial Sensors in GPS Navigation

  • Author

    Tao, Zhang ; Diange, Yang ; Ting, Li ; Xiaomin, Lian

  • Author_Institution
    Dept. of Automotive Eng., Tsinghua Univ., Beijing, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    5793
  • Lastpage
    5796
  • Abstract
    Despite the development of the GPS navigation system, problems still lies in two topics: GPS signal losses and unreliable positioning in the elevation direction. This paper proposes a vehicle state estimation system to produce integrate information including the slope angle, as well as continuous positioning in case GPS losses happen. The system uses low-cost inertial sensors, including an accelerometer and a gyro, rather than the vehicle odometer. Therefore it´s easier to be mounted on a vehicle than the traditional Dead-Reckoning system. The system estimates the slope angle using the vehicle velocity from GPS and the acceleration data from the accelerometer. While GPS is lost, the reckoned positions can be provided using the acceleration and the angle velocity data. Vehicle tests show that the slop angle estimation results can agree with the actual road conditions, and the reckoned positions can guarantee continuous navigation on a flat road in case of GPS losses in a short time.
  • Keywords
    Global Positioning System; angular measurement; inertial navigation; radionavigation; road vehicles; GPS navigation; continuous positioning; inertial sensor; slop angle estimation; slope angle; vehicle state estimation system; vehicle velocity; Estimation; Global Positioning System; Roads; Sensor systems; Vehicles; inertial; navigation; slop angle; vehicle state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.1408
  • Filename
    5630058