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  • Created over 3 years ago
  • Updated about 3 years ago

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Repository Details

Collect paper about ground segmentation in 3D point cloud.

More Repositories

1

Lidar-Segementation

An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019
C++
221
star
2

LIDAR-Segmentation-Based-on-Range-Image

This is a lidar segmentation method based on range image.
C++
160
star
3

Multi-Object-Tracking

A fast object tracking method by using JPDA-IMM-UKF.
C++
152
star
4

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"
C++
91
star
5

Cascaded-Lidar-Ground-Segmentation

A C++ version for "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles" 2018 ITSC
C++
70
star
6

CenterPillarNet

An anchor free method for pointcloud object detecion.
Python
37
star
7

Range-Image-based-segementation

An implementation on "I. Bogoslavskyi and C. Stachniss, "Fast range image-based segmentation of sparse 3D laser scans for online operation," 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, 2016, pp. 163-169, doi: 10.1109/IROS.2016.7759050."
C++
29
star
8

Lidar-pcd-2-jpg-of-bird-eye-view-

Take bird-eye-view Jpg file from pcd file.
C++
8
star
9

Semantic-Kitti-Label-Read

A c++ version code to read semantic kitti label.
C++
5
star
10

CenterBEV

A deep learning method for pointcloud object detection.
Python
4
star
11

IMM-UKF-for-object-tracking

An simple implementation of the IMM-UKF methods for object tracking state filter.
3
star
12

3D-Detection-localization

Papers for 3D Detection
1
star
13

Summary

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1
star