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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
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Updated: Dec 26, 2025

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
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Accelerometer Triad Calibration for Pole Tilt Compensation Using Variance Based Sensitivity Analysis.

Tomas Thalmann1, Manuel Zechner1, Hans Neuner1

  • 1Department of Geodesy and Geoinformation, TU Wien, 1040 Vienna, Austria.

Sensors (Basel, Switzerland)
|March 19, 2020
PubMed
Summary

This study introduces a method using accelerometer triads from inertial measurement units (IMUs) to automatically compensate for pole tilt in total stations, reducing errors and saving time in engineering geodesy tasks.

Keywords:
IMUMEMSaccelerometercalibrationlevelingsensitivity analysistilt compensation

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Area of Science:

  • Engineering Geodesy
  • Geomatics
  • Surveying Technology

Background:

  • Traditional coordinate frames in Engineering Geodesy rely on local vertical alignment, often requiring manual adjustments that introduce errors and are time-consuming.
  • Accelerometer triads within Inertial Measurement Units (IMUs) are increasingly used for horizon leveling in various applications.

Purpose of the Study:

  • To analyze and develop a method for utilizing accelerometer triads to compensate for pole tilt in total stations.
  • To investigate and calibrate different accelerometer triad sensor models for this purpose.
  • To propose a calibration routine for determining the orientation of an IMU mounted on a survey pole.

Main Methods:

  • Investigation of several accelerometer triad sensor models.
  • Application of sensor models in a calibration routine using an industrial robot arm.
  • Development of a calibration routine for IMU orientation determination.
  • Variance-based sensitivity analysis to assess the influence of model parameters on leveling and tilt compensation.

Main Results:

  • Successful calibration of IMU sensor models and orientation.
  • Identification of key model parameters influencing leveling and tilt compensation accuracy.
  • Achieved Root Mean Square (RMS) error of 2.4 mm for tilt-compensated ground points with tilts up to 50 gon.

Conclusions:

  • The developed method effectively compensates for pole tilt in total stations using accelerometer triads.
  • The proposed calibration routines enhance the accuracy and efficiency of geodetic measurements.
  • This approach offers a significant improvement over manual alignment methods in Engineering Geodesy.