基于最小二乘原理的移动测量传感器集成检校技术研究

Calibration of the mobile measurement system based on the least squares method

移动激光雷达测量系统由多个传感器集合而成,各传感器采集数据相对独立,集成安装后获取点云精度质量通常难以控制。针对这一问题,提出了一种基于最小二乘平差原理的特征点检校方法,结合空间配准算法构建推导平差模型,求解误差参数。通过多源传感器数据融合配准,对加入误差改正数后的成果点云质量比较分析。实验结果表明,这种检校方法能够达到提升点云模型精度的目的。

Mobile LiDAR measurement system usually consists of multiple sensors, the data obtained are integration of independent sensors. As the quality of installation of sensors is usually difficult to control, the accuracy of the cloud points obtained is lower. In order to solve this problem, this paper presents a calibration method based on the principle of least squares adjustment, combining with the spatial registration algorithm. By data fusion from multiple sensors, the quality of the point clouds is anlalized. The experimental results show that our calibration method can achieve the goal of accuracy assessment of the point clouds.