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rename CUDA to cu
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Haoyu-NV committed Sep 4, 2022
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# cuda-pcl
# cuPCL

<a><img src="https://img.shields.io/badge/-Documentation-bright"/></a>

cuda-pcl has some libraries used to process points cloud with CUDA and some samples for their usage.
cuPCL has some libraries used to process points cloud with CUDA and some samples for their usage.
The are several subfolders in the project and every subfolder has:

1. lib for segmentation implemented by CUDA
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## Functions List

### CUDA-ICP
### cuICP

This project provides:

1. lib for Icp implemented by CUDA
2. Sample code showing the lib usage and checking the perf and accuracy by comparing its output with PCL's
3. two point clounds: test_P.pcd and test_Q.pcd that both having 7000 points

### CUDA-Filter
### cuFilter

The project provides:<br>

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NOTE: Now it supports two kinds of filters: PassThrough and VoxelGrid.

### CUDA-Segmentation
### cuSegmentation

This package provides:<br>

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NOTE: Now it just supports SAC_RANSAC + SACMODEL_PLANE.

### CUDA-Octree
### cuOctree

This package provides:<br>

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NOTE: Now it just supports Radius Search and Approx Nearest Search

### CUDA-Cluster
### cuCluster

This package provides:<br>

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1. Cluster can be used to extract objects from points cloud after road plane was removed by Segmentation.
2. The sample will use a PCD(sample.pcd) file which had removed road plane.

### CUDA-NDT
### cuNDT

This package provides:

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## Performance Comparison

### CUDA-ICP
### cuICP

||GPU|CPU-GICP|CPU-ICP|
|---|---|----|---|
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|cost time(ms)|43.3|652.8|7746.0|
|fitness_score(the lower the better)|0.514|0.525|0.643|

### CUDA-Filter
### cuFilter

#### Pass Through

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|Points selected|3440|3440|
|cost time(ms)|3.12895|7.26262|

### CUDA-Segmentation
### cuSegmentation

||GPU|CPU|
|-|-|-|
|segment by time(ms)|14.9346|69.6264|
|model coefficients|{-0.00273056, 0.0425288, 0.999092, 1.75528}|{-0.00273045, 0.0425287, 0.999092, 1.75528}|
|find points|9054|9054|

### CUDA-Octree
### cuOctree

||GPU|CPU|
|-|-|-|
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|Points selected|16265|16265|
|cost time(ms)|0.589752|2.82811|

### CUDA-Cluster
### cuCluster

||GPU|CPU|
|-|-|-|
|Count of points cloud|17w+|17w+|
|Cluster cost time(ms)|10.3122|4016.85|

### CUDA-NDT
### cuNDT

||GPU|CPU|
|-|-|-|
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