Hybrid Calibration System and Systematic Error Analysis for Terrestrial Laser Scanners

Abstract

Terrestrial Laser Scanners (TLS) can quickly obtain high-density surface point clouds In recent years it has been widely used in the field of surveying Although the accuracy of most TLS is far better than the needs there are many factors that affect the accuracy of TLS and they will affect the accuracy of point cloud data through error propagation In order to ensure the quality of the TLS data systematic errors should be properly calibrated before using it Based on the self-calibration method a hybrid calibration method combining standard baseline field and indoor calibration field is proposed In this study the TLS of RIEGL FARO and TRIMBLE were used to test at the National Land Surveying Center (NLSC) and 7 systematic error models were tested to evaluate the systematic errors contained in TLS When using standard baseline field to calibrate rangefinder the results show that using the addition constant C and the multiplication constant S to correct the observation can improve its accuracy When using hybrid calibration method to evaluate the systematic errors contained in TLS C and S are used in the self-calibration method the results show that adding the calibration parameters can effectively absorb the errors contained in the observation By hybrid calibration method users can more clearly understand the quality of the TLS and can evaluate whether the instrument needs to be returned to the factory for inspection and whether it meets the scanning requirements

Date of Award	2020
Original language	English
Supervisor	Yi-Hsing Tseng (Supervisor)