针对LIDAR点云中的地面点与非地面点的分离

提出一种基于坡度的伪扫描线点云数据滤波算法.该算法可以避免滤波前的预处理过程,且能够保证每条伪扫描线首个判断点的属性为地面点.此外,通过移动窗口曲面拟合滤波方法再次进行调整,以避免同一地形在两相邻伪扫描线间可能存在的不吻合.实验验证了组合算法的有效性.

Departing the terrain points and non-terrain from the LIDAR point clouds

A modified filtering of point clouds based on so called ＂pseudo scanning lines＂ with slope is presented.This modified filtering can leave out the pre-processing before the filtering and can also guarantee that the starting reference point for judging the terrain information is a real terrain point.A curve fitting method with moving window following the modified point clouds filtering is adopted to avoid the difference of neighboring pseudo scanning lines for the same terrain.An actual example shows that the modified point clouds filtering with its corresponding curve fitting is effective and efficient.