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A quasi-rigorous model based on improved ICP algorithm in the application of auto-calibration of airborne LiDAR system

机译:一种基于改进ICP算法的准严谨模型在机载激光器系统自动校准中的应用

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The purpose of the airborne LiDAR system calibration is to eliminate the influence of system error and improve the precision of the original point cloud data. In certain hypothesis of flight conditions, the directly positioning model for LiDAR can be reduced to a quasi-rigorous model, and the dependence on the original observation data for the system calibration model is reduced too. In view of the shortcoming of human interaction way to establish corresponding relationship between strips, an improved ICP method which considering the object features in point clouds is proposed to get the transform relationship between strips, and the automatic calibration procedures of LiDAR system is established in this paper. Taking with the real LiDAR data in Baotou test field, experiment results show that the proposed system calibration procedures can greatly eliminate the influence of system error.
机译:空中激光雷达系统校准的目的是消除系统误差的影响,提高原始点云数据的精度。在飞行条件的某些假设中,LIDAR的直接定位模型可以减少到准严格的模型,并且对系统校准模型的原始观察数据的依赖也降低了。鉴于人类交互方式在条带之间建立相应的关系的缺点,提出了一种考虑点云中的物体特征的改进的ICP方法,以获得条带之间的变换关系,并在此建立LIDAR系统的自动校准程序纸。在包头测试领域采用真正的激光雷达数据,实验结果表明,所提出的系统校准程序可以大大消除系统误差的影响。

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