An implementation on "Shen Z, Liang H, Lin L, Wang Z, Huang W, Yu J. Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process. Remote Sensing. 2021; 13(16):3239. https://doi.org/10.3390/rs13163239"
License: Apache License 2.0
In order to build the code successfully I had to replace -std=c++11 by -std=c++14.
I had to do this inside
Fast-Ground-Segmentation-Based-on-JPC/code/CMakeLists.txt
as well as inside the ROS package
Fast-Ground-Segmentation-Based-on-JPC/jpc_seg/CMakeLists.txt
in case somebody stumbles across the same issue.
没有把点云中所有的点都分类，有部分剩余
cpp文件的for循环：
实验测试，其中红色为地面，绿色为障碍物，蓝色未确定
项目里面的gif动图里面也有部分黑点．
great work and many thanks for sharing.
Could you please share a version friendly for python users? For example, take as input a numpy array and then ouput indices of the ground/non-ground points.
Appreciate it!
When I test with 128-beam data, the ground will be under-segmented，how to modify those parameters?
thanks much！
谢谢你的项目分享，想问一下full_cloud2.pcd中的ring字段的数值是怎么得到的？谢谢！
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