AN APPROACH TO OPTIMIZE REFERENCE GROUND CONTROL REQUIREMENTS FOR ESTIMATING LIDAR/IMU BORESIGHT MISALIGNMENT
LiDAR systems are complex multi-sensory systems and include at least three main sensors: GPS, IMU navigation sensors, and the laser-scanning device. High-performance integrated GPS/IMU systems provide the navigation solution for the LiDAR data acquisition platform, and therefore, the proper calibration, including individual and inter-sensor calibration, is a must to achieve the highest accuracy of the output data. Specifically regarding the boresight misalignment, the spatial relationship between the IMU body frame and the LiDAR body frame is of high importance as it could be the largest source of systematic errors in airborne MMS, and thus must be determined before the system can be effectively utilized. In this research, the feasibility of using urban areas for beresight misalignment is investigated. In particular, the impact of the building shape, size, distribution, etc. on the performance of the boresight misalignment process, is of interest. In this study, photogrammetricaUy restituted buildings were used as the reference surfaces, called building-positions or reference-positions. The influence of the number of building-positions and their distribution on the boresights misalignment parameter estimation is investigated and evaluated through QA/QC statistical tests.
Boresight misalignment GPS IMU Direct Georeferencing MMS LiDAR QA/QC
A.Pothou C.Toth S.Karamitsos A.Georgopoulos
Laboratory of Photogrammetry School of Rural & Surveying Engineering, National Technical University Center for Mapping, The Ohio State University, 1216 Kinnear Road, Columbus, OH 43212 USA Laboratory of Higher Geodesy School of Rural & Surveying Engineering, National Technical University
国际会议
北京
英文
278-284
2008-07-03（万方平台首次上网日期，不代表论文的发表时间）