Website Content by Liying Huang 2013

Copyright 2013 UNSW. Designed by LIH

Various methods of acquiring suitable data for assessing the boresight angles between IMU and laser scanner of a MLS system are existing. Some of these methods require a terrestrially surveyed test site providing accurate absolute coordinates for, e.g., retro-reflective targets of known shape and size. Other procedures rely on scanning objects of known size and position from different driving directions and distances. (Rieger et al., 2010) Only few of them could achieve on-the-fly calibration and use automatic algorithm to solve boresight value. Methods from Riegl (using corresponding planar surfaces located in the three dimensional point clouds), POS MV (separately Roll, Patch, Yaw Test), GEOMATRICS ENGINEERING (to construct new 3D residual model that combined the planed-based feature and catenary-based feature and then to do a least squares) are introduced in this thesis.

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BORESIGHT AND SCANNER CALIBRATION OF A MOBILE TERRESTRIAL LIDAR SYSTEM

BORESIGHT CALIBRATION

Boresight calibration is part of the Lidar System calibration and focuses on calibrating the boresight errors. There is no standard guideline available on the market to perform this calibration. The algorithms for calculating the boresight errors/angular misalignment are similar in Airborne Lidar System and Mobile Lidar System. But the methods of data acquisition are inevitably different. The MLS systems could capture the same feature with opposite directions to work out the boresight errors. Hence, either good alignment or bad alignment would become obvious in sight.