• DocumentCode
    3349566
  • Title

    A calculation algorithm of the road shape based on accelerometer and laser displacement sensor

  • Author

    Han Yi ; Yang Diange ; Lian Xiaomin

  • Author_Institution
    State Key Lab. of Automotive Safety & Energy, Tsinghua Univ., Beijing, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    2358
  • Lastpage
    2361
  • Abstract
    Present a high-speed vehicle-mounted measurement method of the road shape. The measurement system´s hardware is composed of two accelerometers, a laser displacement sensor, a data acquisition device and a vehicular computer. The software algorithm in MATLAB uses the longitudinal acceleration signal which are detected by the accelerometers as the main input signal to obtain longitudinal displacement of the detection beam by filtering and quadratic integral method, then use the calculated displacement of detection beam and the signal of laser sensor to get the vertical section curve of the road shape. The algorithm is simple and efficient, less errors, suitable for most of the road surface shape measurement.
  • Keywords
    accelerometers; data acquisition; displacement measurement; laser beam applications; measurement systems; road vehicles; shape measurement; MATLAB; accelerometer; data acquisition device; detection beam; filtering; high-speed vehicle-mounted measurement method; laser displacement sensor; longitudinal acceleration signal; measurement system hardware; quadratic integral method; road surface shape measurement; software algorithm; vehicular computer; vertical section curve; Accelerometers; Data acquisition; Displacement measurement; Hardware; Laser beams; Particle beams; Roads; Sensor systems; Shape measurement; Software; accelerometer; filtering; integral; laser displacement sensor; longitudinal acceleration signal; road shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5535621
  • Filename
    5535621