wangx1996 / Fast-Ground-Segmentation-Based-on-JPC

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"

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Fast-Ground-Segmentation-Based-on-JPC

build passing velodyne_HDL_64 compliant ros kinetic

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"

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update on 2021/11/10

  1. Support ros

  2. Fix some bug, but still need to be improved

1.Priciple of Algorithm

(1) RECM for Coarse Ground Segmentation

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Algorithm

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(2) JPC for Refine

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Algorithm

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More detail please check in the paper.

2.How to Use

mkdir build
cd build
make -j
./main your lidarfile

3.Result

(1) RECM

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(2) Dilate

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(3) JPC

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(4) Pointcloud

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About

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


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