英文摘要 |
Due to its outstanding 3D modeling capabilities, Terrestrial Laser Scanner (TLS) has been widely used in engineering surveying fields in recent years. However, different types of errors exist in huge point cloud data, and they would affect the accuracy of point cloud data through error propagation. The sources of these errors may come from instrumental factors (if it is not be calibrated), environmental factors, human factors, etc. In order to ensure the quality of the TLS data, systematic errors should be properly calibrated and corrected before using it. In this study, the theory that the self-calibration combined with the individual components calibration can more accurately simulate the systematic error of TLS was proposed. And a calibration method combining standard baseline field and indoor correction field is proposed for testing. This method overcomes the limitation of indoor space size, and independently calibrate the TLS rangefinder in the standard baseline field with a total length of 266 m. Then the calibration result multiplication constant -103 ppm and the addition constant 1.4 mm are brought into the self-calibration method as additional parameters, and the absolute average value of the difference is reduced to 3.9 mm. According to the preliminary test results, using the theory proposed in this study to perform TLS calibration and analyze systematic errors can help users to more carefully understand the current measurement quality of the instrument. Users can evaluate whether it is necessary to return to the factory for inspection according to the calibration results. |