An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance"

Overview

Lidar-Segementation

build passing velodyne_HDL_64 compliant

An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019

Paper Link [link 1][link 2]

Update on 20210825

  1. Add a demo code
  2. Fix some problem

This file is just a function file, you may need to change a little bit to fit your own code

How to use:

 vector
   
     papr;
 calculateAPR(*cloud_gr,papr);
 unordered_map
    
      hvoxel;
 build_hash_table(papr,hvoxel);
 vector
     
       cluster_index = CVC(hvoxel,papr);
 vector
      
        cluster_id;
 most_frequent_value(cluster_index, cluster_id);

      
     
    
   

The output is the same as https://github.com/FloatingObjectSegmentation/CppRBNN

For the demo code:

 mkdir build
 cd build
 cmake ..
 make -j

Reference

  1. Part of this code references to the https://github.com/FloatingObjectSegmentation/CppRBNN
  2. Ground Remocve: https://github.com/LimHyungTae/patchwork

Result:

Image text

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