顾及平面特征的车载激光扫描系统外参数标定法

激光扫描仪外参数的标定是获取高精度三维地理信息数据的前提和保障。传统标定方法大多需布设特定的检校场、人工采集检校点，求解过程计算量较大。基于此，本文提出通过采集不同车行方向的同一区域的点云数据，提取平面特征数据并进行平面特征数据的自动化配准，对多个不同角度的平面特征的共同检校，实现三维空间中不同车行方向采集的相同地物点云的重合，最终完成系统外参数的标定的方法。试验结果显示，该方法对车载激光扫描系统外参数的标定实现了自动化，减少人工参与且达到了较高的检校精度。

External Parameter Calibration Method of Vehicle Laser Scanning System Based on Planar Features

The calibration of the external parameters of the laser scanner is the precondition and guarantee for obtain high-precision 3D geographic data. Most of the traditional calibration methods require setting up a special calibration field, manual collection of checkpoints, or the amount of calculation in the process of solving is large. Based on this, an automatic calibration method is proposed in this paper, by collecting point cloud data in the same area with different vehicle directions, extracting planar features data and automating registration of these planar features data, through the co-calibration of planar features of different angles.The proposed method realizes the coincidence of point clouds collected by different vehicles in three-dimensional space and finally completes the calibration of the system external parameters. The results show that the method is automatic for the calibration of the external parameters of the vehicle laser scanning system, reduces the need for manual participation, and achieves high precision.